Hello!! I am Advait Khawase
a Data Engineer.
dedicated to building robust, data-driven solutions.
- Migrated 50+ data workflows handling 1M–10M+ records daily for Partner Center from Informatica to Databricks gold layer, achieving ~15% performance boost via serverless clusters and optimized joins.
- Migrated 25+ projects from SAP HANA stored procedures to Hadoop-based PySpark pipelines, reducing SAP HANA compute costs by ~35% via partition pruning and predicate pushdown.
- Conducted POC for NiFi and ADF during cloud migration, leading to adoption of NiFi for historical ingestion of ~1TB+ data per business unit and ADF for full & incremental ETL across 400+ pipelines.
- Managed 300+ workflows covering 6,000+ tables, implementing Medallion architecture with schema evolution, data quality checks, and log maintenance.
- Developed 100+ shell scripts for Sqoop and Airflow automation and 25+ Python scripts for NiFi development, cutting manual effort from hours to under 5 minutes per task.
Data Engineer at Jio Platforms owning 300+ workflows across 6,000+ tables in trade compliance, partner operations, and document processing. I design and deliver end-to-end data solutions — from raw ingestion to gold-layer analytics — on Databricks, Hive/HDFS, and Azure.
Specialized in Medallion architecture with schema evolution, data quality enforcement, and log maintenance at scale. Core stack: PySpark, ADF, Airflow, NiFi, Python, SQL. I've led cloud migrations off SAP HANA and Informatica, cutting compute costs by ~35% and reducing manual effort from hours to minutes through automation.
Beyond enterprise pipelines, I build AI-augmented tools — including a full-stack job aggregation platform powered by Gemini LLM and LangGraph orchestration that received a seed funding offer. I hold a B.Tech in Computer Science (CGPA 8.7) and am an AWS Certified Cloud Practitioner.
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