Senior ETL Support Snowflake/DBT

@topcreator100

Atomic, simplistic, yet elegant is the epitome of my approach to software development. With over a decade of experience in ETL and having worked extensively with Snowflake and DBT, I am the ideal fit for your project. I bring to the table an in-depth knowledge of SQL for complex queries and performance tuning, Python for automation, and Apache Spark for large-scale batch jobs - just what you need to keep those daily data pipelines healthy and optimized. What sets me apart from others is my ability to translate business needs into robust technical solutions. In a finance environment like yours where data integrity is paramount, my skill in designing, refactoring, and testing DBT models will ensure accurate, dependable, and efficient decision-making systems at all times. Additionally, I being comfortable working with tight deadlines understand how crucial clear explanations are; I'll provide you with concise summaries of our sessions so that you can not only replicate but also understand the thinking behind every solution. Finally, I am a true believer in regular and clear communication channels for efficient work. I will provide real-time guidance during your working hours backed by functional code-altering changes that resolve any issues. All changes made will be tested rigorously to ensure data currency and relevancy at session's end unless otherwise agreed upon. Trust me to not only meet your expectations but also exceed them by diligently delivering on all milestones as we collaborate towards efficiently functioning ETL systems!

@vishal1145

Your finance pipelines will fail silently if DBT tests aren't catching schema drift before Snowflake queries hit production. I've debugged this exact scenario for 3 clients where incremental models broke during month-end close because source table columns changed without triggering alerts. Before we structure the support engagement, I need clarity on two things: What's your current Snowflake warehouse auto-suspend policy, and are you running into compute credit overruns? Second, when DBT tests fail at 9 am, what's your rollback strategy - do you have staging environments that mirror prod table structures? Here's how I'll operate during your 8-3 CST window: - SNOWFLAKE QUERY OPTIMIZATION: Rewrite CTEs causing full table scans, implement clustering keys on high-cardinality columns, and tune warehouse sizes to cut query time from minutes to seconds without burning credits. - DBT MODEL REFACTORING: Convert table materializations to incremental where appropriate, add data quality tests that catch upstream issues before they cascade, and document macro logic so you're not reverse-engineering my work. - PYTHON AUTOMATION: Build monitoring scripts that alert you when row counts deviate 15% from historical patterns, automate schema validation between source systems and Snowflake stages. - SPARK BATCH JOBS: Optimize partition strategies and memory configs when you're processing multi-TB datasets that choke on default settings. I've spent 12 years keeping financial data pipelines operational across 5 companies where downtime meant regulatory penalties. I don't just fix the immediate error - I'll walk you through root cause analysis so you understand why the warehouse spilled to disk or why the merge statement locked the table. Let's schedule a 20-minute technical call to discuss your current pain points and confirm this structure works before we lock in monthly terms.

@Vermapratham1234

As an ETL and database specialist with over a decade of experience, I'm well prepared to support your critical systems. With a strong background in maintaining high-intensity data pipelines and resolving performance issues, I'm comfortable working with Snowflake and DBT - as well as complementary technologies like SQL, Python and Apache Spark that you rely on to facilitate these processes. I've built my career on a foundation of collaborative problem-solving and straightforward communication, something that will be crucial for us given the real-time nature of this role. I will not only identify and fix any problems but also provide clear explanations behind each solution so you can replicate them in the future. Additionally, I understand the importance of clearly summarized documentation which I'll provide after sessions for reference. Whether it's reviewing pull requests, optimizing your DBT models, or improving your Snowflake queries, rest assured that I have your back from 8 am – 3 pm CST. My history includes successfully handling complex projects like yours which were characterized by exhaustive data extraction from multiple sources followed by thorough transformation to ensure pipeline healthiness. Let's work together to streamline your data workflows and empower your business!

@ammark477

Hi, I can support you as an on-call ETL partner during your CST working hours and help troubleshoot, optimize, and maintain your Snowflake + DBT workflows in real time. I have strong experience working with ETL pipelines, SQL optimization, Python automation, and data workflow troubleshooting, including handling performance bottlenecks, DBT model issues, and Snowflake warehouse tuning in production-style environments. What I can help with: • Snowflake query optimization and warehouse configuration • DBT model design, refactoring, testing, and debugging • ETL pipeline troubleshooting and workflow improvements • SQL performance tuning for complex transformations • Python scripting for automation and utilities • Apache Spark support for batch processing tasks • PR reviews, debugging failing jobs, and root-cause analysis I understand that communication and explanation are important for this role, so I focus not only on resolving issues quickly but also explaining the reasoning and best practices behind each solution. What you can expect: • Reliable availability during agreed support hours • Tested solutions with minimal regressions • Clear written summaries and follow-up recommendations • Professional collaboration in a fast-paced environment I’m comfortable working in long-term support engagements and can adapt quickly to existing workflows, repositories, and standards. Best regards, Amar Sajid

@agarwalnikita106

Hello, I’m Nikita Agarwal from Groww Per Click. We reviewed your requirement for an ETL specialist and understand that you need a reliable, experienced partner who can provide real-time support for your Snowflake, DBT, and data pipeline ecosystem during your working hours. We can support you as a dedicated data engineering resource focused on maintaining, optimizing, and troubleshooting your ETL workflows in a finance-grade environment. Our approach includes: ✔ Real-time support for ETL pipelines during working hours ✔ Snowflake performance tuning and warehouse optimization ✔ DBT model design, refactoring, and test troubleshooting ✔ SQL optimization for complex queries and large datasets ✔ Python scripting for automation and ad-hoc fixes ✔ Apache Spark support for large-scale batch processing ✔ Clear explanations of fixes for long-term understanding ✔ Short summaries of all changes and improvements We focus not only on resolving issues but also ensuring you understand the root cause and solution approach for future independence. We would be happy to support your data infrastructure as a long-term technical partner. Best Regards, Nikita Agarwal Groww Per Click

@saurabh25122011

A dedicated MS SQL Database Administrator with 8.7+ years of experience, Including 2+ Experience of Technical Lead. Skilled in managing large, complex database environments with expertise across SQL Server 2012–2022. With hands-on experience supporting 150+ servers (including 80 production), I specialize in high availability (AlwaysOn), disaster recovery, performance tuning, and end-to-end database administration. Known for strong analytical abilities, commitment to reliability, and a proactive approach to system optimization and incident management. Key Roles & Responsibilities • Installation, configuration, and administration of MS SQL Server environments. • Designing and implementing High Availability & Disaster Recovery (HADR) solutions using AlwaysOn Availability Groups. • Performing performance tuning, including query optimization, DB configuration, memory tuning, and I/O analysis. • Managing database objects—tables, indexes, views—and ensuring optimal application performance. • Monitoring system health, jobs, processes, and proactively handling failures and incidents. • Managing user access, security controls, and supporting development and testing teams. • Ensuring timely and reliable backup strategies and participating in DR drills. • Conducting requirement analysis, building solutions, unit testing, and upgrading applications. • Providing production support, incident management, problem resolution, and coordination with users and stakeholders

@suneelreddy4

Having good knowledge in ETL development and Migration in Snowflake, DBT, PySpark, AWS Glue. I can try to help you.