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Priya Padgilwar

@priyapadgilwar

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Data Engineer specializing in cloud ETL, Snowflake, and PySpark pipelines.

India

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What I'm looking for

I am seeking a cloud-focused data engineering role where I can build scalable ETL/ELT pipelines, improve data quality, and automate workflows using Snowflake, BigQuery, PySpark and Airflow.

I am a Data Engineer with 4.5 years of experience designing and implementing cloud-based ETL/ELT solutions across AWS and GCP, specializing in Snowflake, BigQuery and PySpark. I build reliable ingestion, transformation and loading frameworks, maintain audit and config logging, and automate workflows with Airflow and AWS Glue.

My work includes migrating on-premise platforms to cloud warehouses, implementing DB ingestion and file-loading frameworks, decrypting and processing PGP-encrypted files, and creating fact and dimension models in BigQuery and Snowflake. I have delivered solutions for clients including Godrej Housing Finance, Bolttech and Globe.

I focus on pragmatic, configurable frameworks (raw/clean/publish/serve), data quality via audit logs and record counts, and repeatable automation. I am motivated to drive scalable data platforms that enable analytics and business insights.

Experience

Work history, roles, and key accomplishments

Current

Data Engineer

Current

Blazeclan

Jan 2021 - Present (5 years 5 months)

Implemented end-to-end ETL/ELT pipelines to migrate multiple clients' on‑prem and application data to cloud (AWS/GCP) and Snowflake/BigQuery, built ingestion, file loading and Snowflake loading frameworks, and maintained audit/config logging to ensure data quality and traceability.

Pyspark AWS Glue Snowflake AWS S3 BigQuery Airflow ETL SQL