Power BI Reconciliation Automation

@saif12me

Hi there, I’d be glad to help you turn your raw Flipkart CSV/Excel exports into a fully automated, refresh-ready Power BI solution. With 4+ years of experience in Power BI, Power Query, and DAX, I’ve built robust models that clean messy ecommerce data, resolve inconsistent headers, handle overlapping IDs, and deliver accurate reconciliations. I understand how critical precision is for payments, returns, and delivered order tracking. Here’s what I’ll deliver: • Folder-based automated ingestion (just drop new files and hit Refresh) • Advanced Power Query transformations to clean and standardize data • Strong data model with correct relationships (no double counting) • Accurate DAX measures for Payments, Returns, and Delivered Orders reconciliation • Error handling to clearly flag missing files or changed column names You’ll receive: ✔ A fully configured PBIX file ✔ A brief hand-off call to validate results against a sample month I focus on accuracy, performance, and long-term maintainability. Ready to start immediately. Thanks and regards, Saif

@webmasters486

As a data-savvy professional well-versed in Data Analysis, Processing, and Visualization, I am truly excited about tackling this complex Power BI Reconciliation Automation project. I understand the intricacies involved in handling large, messy ecommerce datasets and believe my skills are a perfect fit for your needs. My experience with Power Query shaping, robust data modelling, and precise DAX calculations facilitates the transformation of inconsistent headers and overlapping IDs into valuable insights efficiently. I've developed a specific knack for accounting reconciliation through my extensive work with financial data. This gives me a unique ability to comprehend your requirements deeply and implement tailored processes collaborating Payments, Order Returns, and Delivered orders effortlessly. Alongside turning your Flipkart raw CSVs/Excel exports into actionable intelligence, I'll establish an easy-to-follow system for scheduled or manual refreshing of files so you can focus on growing your business. With this in mind, I urge you to entrust this challenging endeavor to me. Together, let's create a Power BI solution that equips you with the precision and peace of mind you need for enhanced decision-making. Let's hop on a call or chat further about how we can best serve your needs!

@dwashil3000

I have done a similar project a week ago. I am sure you will give me more projects after this. I am interested to do this project too and ready to complete this within the timeline. Kindly check my profile to see all rating and reviews given by clients. Hoping to hear from you soon. Payment after completion.

@AliSafder

Hi, I’m Ali. I specialize in e-commerce financial intelligence and have extensive experience "taming" messy Flipkart and Amazon exports. My Technical Strategy for Flipkart Reconciliation Advanced Power Query (ETL) Layer: I will implement Dynamic Column Mapping. Instead of hard-coding column names (which causes the report to break when Flipkart updates their export format), I use a script that searches for keywords (e.g., "Settlement," "Order ID") to map data correctly every time. The Reconciliation Model: I will build a Star Schema that relates your "Order Report" (the source of truth) to the "Settlement Report" and "Returns Report" using a unique Order_ID + Item_ID key. This allows for precise DAX measures like: Unsettled Orders = COUNTROWS(FILTER('Orders', [IsSettled] = FALSE)) Net Profit after Returns = [Total Sales] - [Refunds] - [Flipkart Fees] Questions to Refine the Build Historical Volume: Roughly how many rows or months of data are we processing? This determines whether we should use a "Folder" ingest method or if we need to optimize the DAX for higher performance. Fee Reconciliation: Do you want to reconcile Flipkart's Marketplace Fees (Commission, Fixed, Collection) against your own expected rate card to flag overcharges? I am ready to turn your messy exports into a high-precision reconciliation engine. I can share a sanitized walkthrough of a similar e-commerce model upon request.

@shahajalalbabu00

Hello There. ⇛My Philosophy is “Quality is never an accident it is always the result of an intelligent effort! Professional Multilingual Service Provider. Given the chance to be in long-term Cooperation! ▶Expertise and Specialties is? & What Services I Provide? ✔️Excel ✔️DAX ✔️Python ✔️SQL ✔️Tableau ✔️Scraping ✔️PPT ✔️Google-Sheets ✔️Typing ✔️ Web Scraping ✔️Data Extraction ✔️Data collection ✔️Leads ✔️Spreadsheet - Formulas ✔️PDF-MS Expert ✔️power-BI specialist ✔️Functions ✔️Macros ✔️VBA ✔️Dashboards ✔️Graphs ✔️Charts ✔️Pivot tables ✔️Flow charts ✔️ODOO ✔️Data Analysis ✸ Google-sheets ✔️Data Processing ✔️ Please leave a message here in via chat box. Thank You!

@jesica46

Hello, After reviewing your project on domestic charter flight analysis, I clearly understand that this requires not just data processing, but strategic insight that supports financial and operational decision-making. As a Data Scientist with strong expertise in Python, R, and advanced Excel analytics, I specialize in transforming complex datasets and transcripts into structured, decision-ready insights. For your project, I will: ✔ Conduct structured qualitative and quantitative analysis aligned with your objectives ✔ Clean, validate, and structure raw datasets for analytical accuracy ✔ Apply statistical modeling and exploratory data analysis (EDA) using Python/R ✔ Identify key patterns, cost drivers, and performance indicators ✔ Deliver a clear analytical report with visualizations and actionable recommendations My focus is not just on analysis — but on delivering insights that directly support smarter, data-driven decisions. You can expect: • Well-documented methodology • Transparent working files (Python/R scripts or Excel models) • Clear visual dashboards (if required) • On-time delivery with professional communication I am ready to begin immediately and would welcome the opportunity to review your dataset to ensure the analysis fully aligns with your strategic goals. Looking forward to delivering measurable value to your project. Best regards,

@KestanWriters

With a knack for turning complex data into actionable insights, I am your ideal candidate for mastering your Flipkart's raw CSV/Excel exports in Power BI. My specialization in Business Intelligence and Data Analysis helps me to proficiently handle messy, inconsistent, and overlapping datasets like what we expect from multiple tables with different headers and IDs. I understand that effective modelling, Power Query shaping, and DAX calculations will be crucial to pre-process the data and turn it into meaningful visualizations. Having tamed large e-commerce datasets before, I'm no stranger to the diverse challenges they bring. My ability to handle these obstacles while providing sensible error handling for column name changes or missing files ensures a reliable and robust final product- that doesn't break but flags any discrepancies clearly. Plus, my double Q (Quick & Quality) approach guarantees timely yet precise work that meets your rigorous standards. In summary, my extensive experience in Research Writing, Academic Consultations, Business Intelligence; my skills in Data Analysis; and my capacity to deliver comprehensive yet concise documentation at each stage makes me confident about delivering not just a PBIX file but rather an end-to-end Power BI solution. Let's discuss your project further on how we can leverage Power BI to enhance your business's operational efficiency.

@abhay686

Hi, I can turn your Flipkart CSV/Excel exports into a fully automated Power BI model where a single Refresh ingests new files, cleans them, relates tables, and reconciles Payments, Returns, and Delivered Orders accurately. What I’ll deliver • PBIX with advanced Power Query (folder-based ingestion, header/ID standardization, de-dup, type fixes) • Clean data model (star schema) with robust DAX measures for the 3 reconciliations • Clear exception handling: missing files/changed columns get flagged in a “Data Health” view instead of breaking refresh • Documentation showing exactly where to drop files + refresh steps (manual/scheduled) • Quick handoff call/video to validate against a sample month I’ve handled messy ecommerce exports before (multiple tables, inconsistent headers, overlapping IDs) and focus on accuracy + maintainability. Share one sample month of files and I’ll start immediately.

@delower8855

Hi, I’m Delower, and I specialize in building fully automated Power BI solutions for complex, messy datasets—especially ecommerce exports with inconsistent structures. I understand the challenges that come with Flipkart CSV/Excel reports, including overlapping IDs, inconsistent headers, and multiple related tables. I can design a robust Power BI model that automatically ingests new files on refresh, applies advanced Power Query transformations, builds clean relationships, and delivers precise DAX-based reconciliations for Payments, Order Returns, and Delivered Orders. My approach includes: • Dynamic folder-based data ingestion • Structured Power Query transformations with defensive logic • Strong star-schema data modeling • Accurate reconciliation measures using optimized DAX • Built-in error handling to flag missing files or structural changes instead of breaking You will receive a fully configured PBIX file, clear step-by-step documentation for file placement and refresh, and a walkthrough session to validate results against a sample month. I have hands-on experience working with large ecommerce datasets and building refresh-safe, production-ready dashboards. I’m ready to start immediately and deliver a reliable, scalable solution. Kind regards,

@ankit1612qae

Managing complex datasets and transforming them into valuable insights is my specialty, and I have a proven track record to support this. My advanced proficiency in Power BI, Tableau, SQL, R, and Google Analytics paired with my Six Sigma Green Belt certification puts me in a unique position to handle your intricate data from Flipkart. Over the years, I have dealt with messy data consisting of multiple tables with inconsistent headers, similar to what you've described for your project. My expertise in Power Query shaping and robust data modeling allowed me to relate these tables effectively and create precise measures/relationships. One of my recent projects involved taming large ecommerce datasets using Power BI for a multinational client where I successfully automated the reconciliation of payment statuses like you are requesting. Thus, I am well-equipped to handle the challenges that may arise with your data. Finally, I don't just leave you with a deliverable; I ensure a seamless handoff process. In addition to providing comprehensive documentation on file location and refresh processes, I make myself available for any clarification or queries through calls or video walkthroughs. It would be an honor to apply my skills and knowledge to help streamline your Flipkart account reconciliations and take your data-driven decision-making capabilities to new heights.

@Vsion2

Hi there, I'm Alema, a Power BI and Analytics Consultant with over seven years of experience. I specialize in creating insightful and interactive Power BI Dashboards that help businesses turn raw data into meaningful insights and solve problems. I have completed 300+ projects with a 100% Positive Rating, If you are looking for Quality work, look no further. We are always available 24/7 to help employers without limitations, and delivery is guaranteed on time. Your faithfully. Eng. Alema Akter

@saikishorekalari

Hello there, I recently built comprehensive Power BI dashboards for e-commerce clients, tackling complex Excel data transformations—please review my profile for examples. I can automate your messy Flipkart exports using advanced Power Query to handle inconsistent headers and build a robust data model. With precise DAX, I will ensure accurate, instant reconciliations for payments and returns, while implementing sensible error handling to prevent broken refreshes. You will receive the fully configured .pbix file, step-by-step documentation for updating your files, and a walkthrough video confirming flawless reconciliation.

@aartid56

Hello I can transform your raw Flipkart CSV/Excel exports into a fully automated Power BI reconciliation solution. I specialize in handling messy e-commerce datasets and creating robust data models that provide clear insights into payments, returns, and delivered orders. My technical approach for this project: Advanced Power Query Transformation: I will build a dynamic ETL process to ingest, clean, and standardize your Flipkart data, ensuring the model remains stable even with inconsistent headers or overlapping IDs. Robust Data Modeling: I will establish clear relationships between multiple tables to ensure accurate cross-referencing across payments and orders. Precise DAX Calculations: I will create custom measures to instantly show reconciliations for payments, order returns, and delivered status. Error Handling: I will implement "Fail-Safe" logic to flag missing files or schema changes, ensuring the report remains functional and transparent. Seamless Hand-off: You will receive the .PBIX file along with clear documentation and a walkthrough to ensure you can refresh and manage the data independently. I am ready to tackle your complex datasets and provide a clean, automated dashboard for your business. Best regards, Aarti

@aprisa14

Operations Data Analyst – 4 Years Experience (Excel & SAP) I have 4 years of experience as an Operations Data Analyst with strong expertise in Excel and SAP/S4. I specialize in end-to-end operational and safety reporting, from data extraction and cleaning to dashboard creation and executive presentation. Key Experience: Creating daily ad-hoc operational reports Performing SAP closing activities and resolving system issues Consolidating safety reports into interactive dashboards Preparing weekly and month-end compliance reports Building dashboards using Excel (Pivot Tables, slicers, advanced formulas), Tableau, and Power BI Extracting and cleaning data using SQL and basic Python I am detail-oriented, comfortable owning reporting processes independently, and experienced in presenting insights to leadership to support data-driven decisions. Best regards, Apri Supiaji

@DataCSVExpert

Hello, I specialize in building automated Power BI reporting systems that transform raw, inconsistent CSV/Excel exports into structured, reliable dashboards. I have hands-on experience designing Power Query pipelines that dynamically load multiple files, standardize headers, resolve mismatched identifiers, and create robust data models optimized for performance and accuracy. For your Flipkart data, I will build a fully automated PBIX solution that: • imports all files from a defined folder • cleans and standardizes data automatically • validates schema changes and missing files with clear error flags • links datasets into a structured model • produces accurate reconciliations for Payments, Returns, and Delivered Orders You’ll receive a ready-to-use PBIX file, step-by-step documentation, and a walkthrough call to confirm reconciliation accuracy. I focus on reliability, clarity, and automation so you can refresh reports with one click and trust the results every time. Let’s build a system that saves you hours of manual work. Best regards.

@Arpitsaini37

I specialize in building robust, automated Power BI solutions for complex ecommerce datasets. I can transform your raw Flipkart CSV/Excel exports into a streamlined PBIX model that refreshes seamlessly, cleans messy tables, and reconciles payments, returns, and delivered orders with precision. My approach includes advanced Power Query shaping, strong data modelling, and DAX measures tailored for accurate reconciliations. I’ll also implement error handling so column changes or missing files trigger clear flags instead of breaking the report. Deliverables will include: • A ready-to-use PBIX file with queries, relationships, and measures set up • Step-by-step documentation for adding new files and managing refreshes • A hand-off call or video walkthrough to validate reconciliations against a sample month I have proven experience taming large ecommerce datasets in Power BI and can share past projects of similar complexity. Let’s collaborate to give you a reliable, automated reporting system that saves time and ensures accuracy.

@abidk522

Building on my skills in Excel, I am excited to offer my expertise for your Power BI Reconciliation Automation project. Having worked many years with large datasets across various domains including ecommerce, I have honed a keen eye for detail and a flair for data organization that will be crucial in shaping up your messy Flipkart exports. Through my deep knowledge of advanced Power Query shaping, robust data modelling, and precise DAX calculations, I am confident that I can transform the inconsistent tables from your multiple CSV/Excel files into a coherent and efficient PBIX file. My strong ability in creating sensible error handling systems will ensure a robust structure that can withstand potential future changes in column names or missing files. Moreover, I understand the importance of comprehensive documentation and effective communication. I will meticulously document not only the process of integrating new files but also how the scheduled or manual refresh should occur. Lastly, my commitment to thoroughness will be demonstrated through the hand-off call or video walkthrough where we will verify that everything reconciles correctly against a sample month of data.

@TyeStewart

Hey — saw your post about automating Power BI reconciliation from your Flipkart CSV/Excel exports. The tricky part here is usually getting all the different reports (orders, returns, fees, payments) to line up cleanly so you can trust the final numbers. Quick question before I suggest an approach: Do you already have a master “source of truth” for reconciliation (like bank payouts or a ledger), or should Power BI handle that logic end-to-end? I’ve built ecommerce reconciliation dashboards before where we automated matching marketplace reports against payouts and fees, with refreshable Power BI models instead of manual Excel work. If you can share a sample Flipkart export and a brief note on what you currently do manually, I’ll review it and tell you what can be automated and how clean we can make the reconciliation.

@Nidhi2896

I can build a fully automated Power BI solution that ingests your raw Flipkart CSV/Excel exports, cleans and models the data, and delivers reliable reconciliations for payments, order returns, and delivered orders with a single refresh. I will use advanced Power Query for robust ETL, strong data modeling to handle overlapping IDs and messy headers, and precise DAX measures to ensure accurate results. The model will include clear error handling to flag missing files or schema changes without breaking the report. You’ll receive a ready-to-refresh PBIX file, simple documentation on file placement and refresh flow, and a brief walkthrough to validate everything against a sample month of data. Thanks and Regards Nidhi kumari