Ashish Singh

Led architecture and delivery of scalable AWS data platforms, designing end-to-end solutions for data ingestion, transformation, storage, and analytics. Optimized enterprise data repositories using AWS services including S3, Glue, and Lambda, and led cross-functional teams to deliver production-ready data platforms.

Architected end-to-end data integration solutions on GCP BigQuery and Kafka, enabling real-time and batch data ingestion with full lineage tracking and governance compliance. Led integration of SAP data feeds and provided technical guidance to cross-functional teams.

Designed and maintained a scalable GCP data platform using BigQuery with medallion architecture, ensuring reliable data products for business needs. Drove DBT-based transformation pipelines, built Looker dashboards, and led a team of data engineers and scientists while implementing MLOps and LLMOps frameworks.

Led data acquisition and high-volume processing initiatives on GCP (Dataflow, Pub/Sub, BigQuery, DBT) for distributed computing and real-time analytics. Designed technical solutions on GCP and collaborated with stakeholders to implement scalable ETL/ELT solutions.

Led a team of engineers in re-architecting legacy pipelines to Databricks (Delta Lake, medallion architecture) and Snowflake on AWS, achieving 40%+ performance improvement and significant cost reduction. Designed data governance frameworks ensuring GDPR compliance and built Looker dashboards for cross-functional stakeholders.

Led and scaled Data Engineering, BI, and Salesforce teams on Snowflake (AWS), improving data processing efficiency by 25% through pipeline automation using Airflow and DBT. Directed end-to-end data integration and reporting automation, reducing manual processing by 40%.

Managed enterprise GCP BigQuery data warehouse and designed scalable ETL/ELT pipelines on AWS (Lambda, S3) to support BI and analytics needs. Integrated CDP and Google Analytics data to build customer 360 profiles and directed data governance ensuring GDPR and CCPA compliance.

Designed end-to-end architecture for a personalized content framework within the Marketing Technology & Innovations group, integrating multi-source customer data for dynamic marketing personalization. Collaborated with analytics and email marketing teams to develop a platform for personalized content delivery.

Served as ETL/SQL Architect for the Receiver Manufacturer project, designing ETL processes integrating data from diverse sources. Administered Cognos multi-tiered architecture and developed Report Studio reports.

Led data architecture for MARS (Markets Analytics Reporting System), integrating market data from Bloomberg, eMBS, and US Treasury Direct into a centralized reference data mart. Managed data governance processes and designed Informatica-hosted web services.

Designed ETL processes for the Telematics project (Oracle to Vertica via Informatica) and contributed to the next-generation marketing platform project. Developed dynamic data compression and encryption processes for secure handling of sensitive subscriber data.

Held senior-level data engineering, ETL development, and BI roles using PL/SQL, Informatica, Cognos, and Oracle across defense, insurance, pharmaceutical, and financial services industries.

Bachelor of Science in Computer Science with a minor in Mathematics.

AWS Certified Solutions Architect – Associate certification obtained in 2018.