As a Data Engineer 2, I pioneered end-to-end data warehouse creation for a major client using AWS EMR, Hive, Redshift, and Pyspark, slashing weekly refresh time by ~50%. I also led a 4-member data engineering team, surpassing client expectations in project delivery, and facilitated mentorship for new team members to ensure high-quality deliverables. Additionally, I enhanced an ongoing Databricks project by automating the QC framework, streamlining processes and improving overall efficiency by ~70%. With a BTech in Computer Science from Maharaja Surajmal Institute Of Technology, I have 3+ years of experience in the management consulting and information technology industry, previously working as a Datq Engineer at ZS. There, I architected solutions for pharma clients by integrating new data sources into AWS cloud infrastructure using Amazon S3, Redshift, RDS, Python, Snaplogic, and MicroStrategy. I also created multiple technical solutions to client problems and performance optimization of existing implementations by reducing process time, manual intervention and placing technical/business quality checks. I specialize in designing, developing, and delivering scalable data solutions for diverse industries and domains, using cloud technologies and big data tools for creating efficient data pipelines, models, and analytics. I implement data quality, security, and governance best practices on cloud-based platforms like AWS, Databricks, and Snowflake. I help businesses to define the data-driven architecture and make robust data platform over the cloud to scale up their business.