Rows compared
685M+
Rows validated across migration comparison workloads
High-volume source-to-target checks on production-scale datasets.
SDE-I at Datachecks · Backend Engineering · Remote
Neeraj Kumar, backend engineer building APIs, distributed workers, and deployment systems at scale.
FastAPI · Celery · PostgreSQL · Docker · Distributed systems
Top OSS project: Ryuk-me/Torrent-Api-py — 401 stars, 246 forks, and 16 provider integrations.
Product work
Datachecks platform walkthrough
I contributed as an SDE-I backend engineer, focusing on APIs, workers, and database integrations.
Comparisons
1,323
Total comparison jobs executed
Runs completed across enterprise source and target systems.
Successful jobs
1,143
Jobs completed without validation failures
Represents stable worker execution and validation coverage.
Datasources
105
Enterprise systems connected for validation
Includes MSSQL, Oracle, Databricks, Trino, Sybase, and more.
Workspace analytics
Dashboards for migration health
This dashboard is used by operations teams to check run volume, success rate, runtime behavior, and diff trends before migration sign-off.
Comparison review
Source-to-target runs with diff visibility
The comparisons table helps teams inspect exact source and target pairs, check diff percentages, and move from failed runs to root-cause analysis quickly.
Dataset inventory
Dataset inventory with schema status
The assets page shows datasets, column counts, scan status, and validation coverage in one place so teams can spot gaps quickly.
Connector matrix
Datasource setup across enterprise databases
The datasource flow covers transactional databases, warehouses, and storage systems so migration teams can validate real production paths end-to-end.
Traceable operations
Audit trail for operational accountability
The audit logs view preserves who triggered which action and when, which helps with investigations, escalation, and compliance reviews.
Activity history
Workspace timeline and activity trend
The overview page shows activity over time so teams can track whether migration quality is improving or repeatedly regressing.
Featured Systems
Selected case studies
Open Source Maintainer
Ryuk-me/Torrent-Api-py
Open-source FastAPI service that unifies multiple torrent providers under one API. I maintain scrapers, normalize responses, and keep deployments stable.
Request -> Router -> Scraper
- Reached 401 GitHub stars and 246 forks as a widely reused API wrapper.
- Supports 16 providers behind one interface, reducing client-side parsing complexity.
PythonFastAPIaiohttpBeautifulSoup
View case studyOpen Source Contributor
datachecks/dcs-core
This is a product built by the company I work for. I contributed as a backend engineer across connector reliability, metadata/query behavior, and release maintenance.
Config -> Connector -> Query layer
- Delivered 34 merged PRs and 59 commits across connector logic, query behavior, and release maintenance.
- Improved reliability across 12 supported datasource types used in real validation pipelines.
PythonSQLAlchemyClickPytest
View case studyOpen Source
GitHub
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