Resume

Data Engineer with proven expertise in building scalable ETL/ELT pipelines, real-time data products, and cloud-native analytics on AWS.

Summary

Sakshar Bhardwaj

Data Engineer focused on ETL/ELT, REST APIs, and AWS (S3, Lambda, Athena, ECS/ECR). Skilled in Python, SQL, CI/CD, and data governance to deliver secure, high-performance platforms for analytics and AI. Experienced in real-time processing (Spark, Kafka) and cross-functional delivery.

Education

Master of Information Technology and Analytics

Dec 2025

Rutgers University, Newark, NJ

Relevant Coursework: Machine Learning, Cloud Computing, Predictive Modeling

Bachelor of Science, Computer Science

2022

Eastern Connecticut State University, Willimantic, CT

Professional Experience

Data Engineer (Financial Risk) — Co-op

PNC Bank, New York, NY (Jun 2025 – Present)
  • Engineered Python/SQL pipelines integrating multi-source credit & fraud data, reducing processing time by 35%.
  • Integrated REST APIs to deliver real-time fraud risk scores to downstream systems.
  • Partnered with compliance/audit to align workflows with SOC2 and GDPR policies.

Sr. Data Engineer (Business Intelligence)

Verizon Wireless, Piscataway, NJ (Sep 2022 – Dec 2024)
  • Built AWS-backed ETL/ELT (S3, Lambda, QuickSight) processing 10M+ records daily for real-time reporting.
  • Implemented Docker + GitHub Actions CI/CD for zero-downtime data workflow releases.
  • Integrated anomaly detection into incident APIs, improving SLA compliance by 18%.
  • Produced end-to-end lineage and architecture docs enabling self-service analytics.
  • Hardened security with RBAC and encryption in transit/at rest.

Data Analyst

Bee & Thistle Inn, Old Lyme, CT (Aug 2021 – Sep 2022)
  • Automated payroll and procurement ETL, cutting manual workload by 40%.
  • Built KPI dashboards and data flow diagrams to surface bottlenecks and drive process improvements.

Internships

Data Analyst & Web Designer

Rutgers OISS, Newark, NJ (Feb 2025 – Jun 2025)
  • Designed SQL models and Tableau dashboards to track marketing performance, improving ROI tracking by 25%.
  • Automated engagement analytics via Python + REST APIs, reducing manual reporting by 50%.

Marketing Research Intern

AT&T, Waterford, CT (Jun 2021 – Aug 2021)
  • Performed segmentation analysis and consolidated campaign performance into executive dashboards.