Ankur Tiwari

Architected a proprietary data observability platform covering 200+ production pipelines across AWS, becoming the single source of truth for data health. Built the organization's first engineering productivity measurement framework and reduced data quality incidents by 40%.

Delivered 100% data accuracy across 15+ concurrent client migrations by building reusable Pandas-based validation and cleansing frameworks. Reduced project delivery timelines by 20% and minimized production downtime to under 2 hours per go-live.

Reduced data ingestion latency by 45% by engineering a scalable Content Data Lake platform using AWS ECS, Lambda, and Python. Improved deployment consistency and cut infrastructure provisioning time by 60% with Terraform.

Accelerated BI reporting refresh cycles by 25% by developing Python-based ETL scripts and automated SQL job scheduling workflows. Enabled enterprise-scale data transformation for 50M+ monthly health platform users using Databricks Spark and Azure Data Factory.

Designed and governed end-to-end warehouse architecture for 3 enterprise clients migrating from Oracle and SQL Server to Snowflake on AWS, reducing ETL failures by 30%. Built a custom real-time monitoring solution for Spark jobs, reducing MTTR by 40%.

Delivered the Eureka enterprise data migration for Citrix, migrating petabyte-scale datasets into Redshift with zero data loss. Engineered a cloud-native self-healing monitoring system that reduced production incidents by 65%.

Completed a Post Graduate Diploma in Advanced Computing (PG-DAC) at ACTS C-DAC, Pune from February 2015 to August 2015.

Earned a Bachelor of Engineering in Information Technology from RustamJi Institute of Technology, Tekanpur from September 2010 to June 2014.

Earned the AWS Certified Developer – Associate certification.

Completed the Microsoft certification: Introduction to Programming Using Python.