Aditi Mittal
BTSA @ ZS Associates
- Role
- Business Technology Solutions Associate at ZS
- Location
- Gurugram, HR, IN
- LinkedIn followers
- 500 followers
About Aditi Mittal
I am a results-driven technology professional with experience in data engineering, analytics, and machine learning. As a Business Technology Solutions Associate at ZS, I specialize in designing and streamlining data pipelines, optimizing ETL workflows, and leveraging cloud technologies like AWS to enhance efficiency and reduce costs. Beyond work, I am passionate about innovation and problem-solving, intending to blend technical acumen with creativity to deliver impactful solutions in the ever-evolving tech landscape.
Experience
Business Technology Solutions Associate
Jun 2023 — Present · Delhi, IN
Collaborated with internal and client teams to design solutions for automating and streamlining data pipelines, resolving data gaps, and enhancing pipeline efficiency for pharma clients•Migrated orchestration, ingestion, DQM, and transformation jobs from the client\'s custom Glue-based orchestration tool to native AWS Glue using AWS CloudFormation templates, reducing ETL workflow duration from 6 to 3 hours and achieving cost savings•Enhanced Spotfire dashboards by creating bookmarks, adding filters, and updating SQL queries, improving functionality for 150+ users in drug development research and ensuring better UI, readability, and navigation•Onboarded 5 new vendors to the data pipeline by creating developing and testing custom SQL scripts for ingestion, DQM, and transformation ETL jobs, diversifying sources for improved analysis and business insights •Implemented delta load for 22 data vendors, enabling incremental data loading instead of full ingestion, which reduced job completion time by 40% and optimized data processing•Utilized MS Excel, Linux, and SaaS studio to create metadata for 30+ data vendors, enabling data ingestion and publishing of data loads into the client data lake, supporting BI & A users in research and analysis•Leveraged AWS services like S3, EC2, and databases like Aurora and Redshift to create metadata structures and perform data validation and cleanup, improving data accuracy and ensuring seamless ingestion
Education
SRM University
Bachelor's degree
2019 — 2023
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