Data Engineer at Adobe

I’m a Data Engineer with experience building scalable ETL pipelines in Databricks and AWS, with a focus on PySpark, Redshift, and Delta Lake.
I've delivered business-critical data solutions at Adobe and other tech firms, improving performance, compliance, and decision-making across domains.
Apr 2024 – July 2025
Built PySpark-based ETL pipelines in Databricks and AWS Glue for product usage analytics, legacy R-to-PySpark migration, and compliance logging.
Feb 2023 – Apr 2024
Developed data pipelines and analytics dashboards using Python and SQL. Automated reporting workflows and optimized PostgreSQL-based queries.
May 2018 – Jan 2023
Built early-stage ETL pipelines in Python, handled Excel/CSV ingestion, and contributed to initial data warehouse design and reporting tools.
PG Program in Big Data Engineering – BITS, Pilani (Present)
Bachelor of Engineering, Mechanical – GTU, Ahmedabad (2013 – 2018)
Programming & Data Processing: Python, PySpark, SQL, REST APIs
Data Engineering: ETL/ELT Pipelines, Batch Data Processing, DataOps, Data Quality & Governance
Cloud & Platforms: Databricks, AWS (Glue, Redshift, S3, Athena, Step Functions, CloudWatch, Lambda), Azure (ADLS Gen2, ADF, Synapse, Fabric), Airflow, Hive, DBT, Snowflake
Engineering Tools & Delivery Practices: Git, CI/CD, Agile Methodologies (Scrum, Kanban), JIRA
Data Engineering Professional Certificate – IBM
Advanced SQL – upGrad
PySpark & AWS: Master Big Data – Udemy
Volunteered with Isha Foundation – Maha Shivratri Event Ops, 2022
Performed Solo Instrumental (Guitar) – Adobe Cultural Evening, 2024
AIR 56 – NCAT by IIT Delhi, 2015
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