Advait Sahadev

I’m a data engineering fresher who has built and deployed production-grade ETL/ELT pipelines on GCP, with a focus on reliability, data quality, and repeatable automation. I shipped a live batch pipeline that ingests daily stock market data at scale and supports downstream analysis.

In my stock market data pipeline, I extracted OHLCV data for 30+ equities (7,500+ records per run) using REST APIs in Cloud Functions, landed raw data in Cloud Storage, and loaded validated records into BigQuery. I implemented a transformation layer with derived metrics, deduplication logic, and null-handling/data quality checks on every incremental load.

I care about end-to-end operational workflows. I automated execution using Cloud Scheduler and GitHub Actions CI/CD, and published a Looker Studio dashboard to visualize price trends and volatility across equities directly from BigQuery.

Beyond that, I built a modular retail data pipeline and analysis workflow using Python and SQL, normalizing multi-source datasets into a relational schema in SQLite with join consistency validation. I’m now seeking a data engineering or analytics engineering role to build dependable data infrastructure at scale.