At Neve Jewels, I build large-scale data ingestion frameworks processing 100K+ product records daily across 25+ global retailers, powering competitor intelligence, pricing analytics, and business reporting. I also develop data platforms and backend services used by 200+ internal users.
Previously at Techiesys IT Solutions, I built enterprise ETL/ELT pipelines processing millions of records across healthcare, finance, insurance, and e-commerce. My work spans PySpark, Airflow, Kafka, SQL, Snowflake, BigQuery, AWS, dimensional modeling, and cloud-native data lakes.
I enjoy designing reliable batch and streaming systems, improving data quality and performance, and building document-processing pipelines for semantic search and knowledge discovery.
