Dharmender Singh

About Dharmender Singh

Experienced in leading cross-functional and hybrid teams to modernize legacy mainframe environments (COBOL, JCL, VSAM, SAS) into scalable Azure ecosystems (ADF, Synapse, Fabric, AKS, Databricks). Achieved $1M+ annual savings through 5K+ SAS migrations and 16K job conversions, while building resilient, business-aligned platforms.Skilled in data engineering (Spark, Snowflake, Kafka, Python/SQL), Java/Spring Boot, PL/SQL, DB2/Oracle, and cloud-native architectures. Known for driving collaboration across business analysts, QA, product, and technology stakeholders to deliver scalable, cost-efficient, and future-ready solutions across cloud, data, AI/ML, and mainframe ecosystems.• Deep expertise in OMNIpay (SunGard) payment processing, including DB, HW, and DC LOB• Expert in real-time bank account verification via GIACT and Prenote processes (zero-dollar ACH tests) to prevent fraud. • Led teams enhancing API fault tolerance for 300M+ daily requests, boosting reliability.• Spearheaded migration of SAS programs from mainframe to SAS EG 7.1, saving $1M annually.• Incubated 15 Azure cloud engineers, guiding migrations and training 40+ on Azure services.• Built analytics platform handling 15K monthly requests from 3K+ users via Power Apps, Node.js, Python/SAS.• Developed FTP/SFTP platform transferring 15K files daily with interactive tracking UI.• Applied AI/ML to cut data pipeline incidents by 15%; directed audits for $4.5T assets, 65K funds.• Optimized 15K ETL jobs (10% runtime cut), self-service pipelines saving 160 man-hours/day for 160K users.• Modernized 16K mainframe jobs; led fund Go-Lives and COBOL/SAS production support.Hands-on across Azure data/AI services, large-scale analytics, Tier 0–5 environments, DevOps (Jenkins, Ansible, Airflow), observability (Splunk, Datadog), and Agile/Scrum. Excel at consensus building, crisis management, and stakeholder alignment in regulated environments, balancing strategic vision with execution to foster engineer growth and reliable software delivery.Key strengths: consensus building, crisis management, stakeholder alignment, and driving change in complex, regulated environments. I believe decisions are only as good as the data behind them and focus on building systems where data, platforms, and teams are all aligned to long-term business outcomes.​Learn more about my work at http://singhdharmender.com/

Experience

1. Chapter Leader

   Fidelity Investments

   Jun 2025 — Present · Bengaluru, IN

   Drove business excellence by leading the development and support of integrated data platforms and legacy systems across Workplace Solutions, ensuring effective service delivery and customer impact.• Led a cross-functional team of data domain experts, driving collaboration and innovation across diverse skill sets to deliver high-impact solutions.• Led a cross-functional team to enhance the performance and fault tolerance of APIs handling 300M+ daily requests, boosting system reliability.

Education

• Deakin University

  Master of Data Science , Data Science

• The University of Texas at Austin

  PGP - Artificial Intelligence & Machine Learning, Artificial Intelligence and Machine Learning

  2019 — 2021

• Dr. A.P.J. Abdul Kalam Technical University

  B.Tech, Electrical, Electronics and Communications Engineering

  2002 — 2006

• Amity University

  Post Graduate, Post Graduate Program in Blockchain Technology

  2018 — 2019