Sreekumar Velupula

About Sreekumar Velupula

Professional SummarySenior Data & Cloud Engineering Leader with 16 years delivering large-scale, regulatory-grade Analytics, BI, and Decision Support platforms across Banking, Capital Markets, Risk, and Healthcare. Proven record leading multi-year, multi-region programs, modernizing data ecosystems, enforcing governance, performance, scalability, security, and operational resilience.Core Competencies- Data Engineering & Warehousing: Architecture, modeling, ingestion, curation, lineage, data quality, masking- Cloud & Platform Modernization: Azure (Databricks, Synapse, ADF, HDInsight, SQL, MySQL), migration roadmaps- Big Data & Distributed Compute: Spark, Hadoop, Hive, Delta patterns, performance tuning, cost optimization- Integration & Automation: Informatica (PC, IDQ, IICS, DIH), NiFi, Talend, Python, APIs, scheduling (Autosys, Control-M, Tidal)- Analytics & Visualization: Power BI, Tableau, MicroStrategy- Governance & Risk: Info risk management, access controls, compliance, audit readiness, DR strategy- DevOps & Release: CI/CD, environment strategy, change/release management, infrastructure standardization- Leadership: Global team management, vendor management, budgeting, operating model design- Program / Project Delivery: Phased rollouts, stakeholder alignment, KPI tracking, remediation governanceCloud StackAzure Databricks, ADF, Synapse, HDInsight, Azure SQL, Azure MySQL ServerTools & TechnologiesSpark, Hadoop, Hive, Informatica (PC 7.x–10.x, IDQ, IICS, DIH), NiFi, Talend, Python, Oracle, SQL Server, Bloomberg AIM, SimCorp, Power BI, Tableau, Autosys, Control‑M, ServiceNow, IBM MQ, Windows & LinuxSelected Achievements- Delivered $1.6M strategic Operational Risk platform to production in phased releases; improved data accessibility, performance, scalability for enterprise reporting consumers- Leading $2.5M multi‑year global Investment platform modernization (NA/EU/Asia); ensured legacy coexistence, controlled migrations, zero critical production regressions- Established governed data masking patterns (restricted vs unrestricted inventories) reducing sensitive data exposure risk- Optimized Spark + Databricks workloads (partitioning, shuffle reduction) cutting runtime and infra cost (describe % if available)Project / Delivery ToolingMS Project, Visio, Office, JIRA, Kanban, MuralValue PropositionBridges enterprise governance with pragmatic engineering execution; scales platforms responsibly while accelerating delivery velocity and data trust. Let me know if you want a condensed or role‑targeted version.

Experience

1. Lead Data Engineer

   Wells Fargo

   Mar 2023 — Present · Charlotte, NC, US

Education

• PRRM Engineering College Hyderabad India

  Bachelor’s Degree, Electrical and Electronics Engineering

• San Francisco Bay University

  Master's Degree, Electrical Engineering

Skills

• Investment Management
• Data Analysis
• Windows Azure
• Uc4
• Test Environment Setup
• Ibm Mq
• Toad
• Hdfs
• Life Insurance
• Unix
• Data Modeling
• Bloomberg
• Estimates
• Team Leadership
• Technical Leadership
• Data Warehousing
• Subversion
• Odi
• Tableau
• Onsite-Offshore Co-Ordination
• Sql
• Visio
• Hadoop
• Netezza
• Data Warehouse Architecture
• Asset Management
• Performance Tuning
• Dimensional Modeling
• Informatica
• Unix Shell Scripting
• Hive
• Oracle
• Plsql
• Tidal Enterprise Scheduler
• Pl/Sql
• Sql Server Management Studio
• Ca-Scheduler
• Jira
• Control M
• Obiee