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need thousands of existing records cleaned up and pushed into my Cassandra cluster. You will receive the source data as CSV or JSON exports; your task is to check each row for accuracy, add or correct a short copyright line where it is missing, then load everything into the appropriate keyspace and tables using CQL. Accuracy is critical. Every field must land in the right column family, primary keys have to stay unique, and the copyright text must follow the template I provide. Please plan to: • Parse and validate the raw files locally • Write any quick CQL scripts needed for bulk inserts ( cqlsh COPY, DataStax loader, or similar) • Spot-fix obvious typos or formatting issues before upload • Keep a simple load log so I can trace every batch you run I work with a vanilla open-source Cassandra 4.x stack—no Spark or Solr components—so experience with native CQL tools is enough. Once the initial load is complete, we will run a quick count check together; zero rejected rows will be the acceptance criterion. Let me know how soon you can start, roughly how many rows per hour you comfortably handle, and any past work you have done with Cassandra data imports.
Project ID: 40516011
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Active 7 days ago
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3 freelancers are bidding on average ₹850 INR for this job

Hi, I can start immediately and help clean, validate, and import your data into your Cassandra 4.x cluster. I have experience working with CSV/JSON data processing, CQL, and database imports. I'll validate each record, fix formatting or obvious typos, add the required copyright text where needed, and ensure data is loaded into the correct tables while maintaining unique primary keys. I'll also maintain a clear load log for every batch and verify the final row counts with you. I can comfortably process several thousand rows per hour, depending on the data quality and validation requirements. I'm ready to begin as soon as you share the source files and your schema. Looking forward to working with you!
₹1,050 INR in 7 days
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Hi — clear scope: clean thousands of CSV/JSON rows, apply your copyright-line template where it's missing, and bulk-load into your vanilla Cassandra 4.x keyspace via CQL, with zero rejected rows as the bar. My approach is scripted, not hand-typed: a Python pass parses and validates every row (type/format checks, primary-key uniqueness, applies the copyright template, spot-fixes obvious typos), then loads with cqlsh COPY (or the DataStax bulk loader) into the right tables — so throughput is the whole batch per run, and each run writes a load log you can trace. To be straight: I work with Python data pipelines and native CQL tooling rather than claiming a stack of past Cassandra jobs — so I'd rather prove it. Send a small sample export + your CREATE KEYSPACE/TABLE definitions + the copyright template and I'll validate-and-load that sample first, so you see zero rejected rows before the full run. Funds stay safe in a milestone until that count check passes. Two quick questions: do I load directly via cluster access you provide, or hand you the scripts to run on the box? And is the source mostly CSV or JSON? Can start right away.
₹900 INR in 3 days
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Hi, I can help clean and validate your CSV/JSON records before loading them into Cassandra with careful checks for accuracy. For this task I would: - Parse the source CSV/JSON files locally and check required fields. - Fix obvious formatting issues, missing copyright text, and duplicate/invalid keys. - Prepare simple CQL/COPY loading steps for the correct keyspace and tables. - Keep a batch load log so rejected or corrected rows can be traced. - Run count checks after loading to confirm the import result. I can start quickly and first process a small sample so you can confirm the structure and quality before the full load.
₹600 INR in 3 days
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Bikaner, India
Member since Jun 15, 2026
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