Hi, I'm Rahim Mahat β a passionate and pragmatic Data Engineer with a strong focus on building scalable, cloud-native data solutions. With 3+ years of hands-on experience, I specialize in AWS, Python, PySpark, Glue, CDK, and data pipeline automation.
I thrive on designing efficient systems that transform raw data into reliable, actionable insights. My recent work includes modernizing event data ingestion and analytics pipelines, deprecating legacy App Center integrations, and implementing secure, serverless architectures using API Gateway, Lambda, SQS, and S3. I'm a strong believer in clean code, SOLID principles, and well-structured testing to ensure maintainable and robust systems.
Outside of work, Iβm deeply curious about emerging tools, modern development practices, and ways to improve developer experience. I'm constantly exploring technologies that enhance efficiency, streamline workflows, and challenge conventional approaches to building and shipping software.
- Kolhapur, Maharashtra, India
- https://rahim-stdin.pages.dev
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nightshift
nightshift PublicA receipt-extraction data lake on emulated AWS (CDK, Lambda, SQS, S3, Glue, Athena) and an on-call agent that operates it, both measured
Python
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warehouse-gpt
warehouse-gpt PublicProduction-grade analytics agent over a Spark + dbt lakehouse, with ablation evals. Runs at $0.
Python
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leakproof
leakproof PublicLeak-free real-time fraud detection: streaming features (Redpanda + Redis) with verified training-serving parity, LightGBM, and a FastAPI scoring service at ~3 ms p50.
Python
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pyspark-windows-local
pyspark-windows-local PublicRun PySpark locally on Windows with one setup script: portable Java, Python, winutils and PySpark in a single folder. Clone, run setup.bat, start practicing.
Python
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hundred-projects
hundred-projects Public100 standalone HTML pages, no two alike. Single-file, zero dependencies, no build step β 661 KB for all of them.
HTML
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