Enterprise Data & Cloud Transformation Leader

SAJITH THOMAS VARGHESE

Phone: +91-990******* Email: ************@*****.*** Bengaluru, India

LinkedIn: https://www.linkedin.com/in/sajiththomas/ DATA & CLOUD TRANSFORMATION LEADER ENTERPRISE DATA ARCHITECTURE AWS & LAKEHOUSE DATA ENGINEERING

Strategic technology leader delivering enterprise-scale data transformation across complex and highly regulated environments, with a strong track record of turning legacy technology landscapes into scalable, resilient and cost-efficient data ecosystems. Known for bridging architecture vision and executions, shaping technology direction, solving complex data challenges and establishing engineering practices that improve platform performance, reliability and operational efficiency. Brings a strong blend of deep technical expertise, architectural thinking and hands-on delivery experience across the full data-platform lifecycle. Proven ability to lead engineering teams, influence senior technical stakeholders and drive complex transformation programs from strategy through implementation. At the forefront of adopting AI-assisted engineering practices, applying emerging capabilities to improve developer effectiveness and accelerate technology delivery.

KEY SKILLS

Data & Cloud Architecture: Data & Cloud Architecture Enterprise Data Platforms Solution Architecture AWS Cloud Architecture Cloud & Data Modernization Lakehouse Architecture Medallion Architecture Data Migration Apache Airflow Redshift S3 Delta lake Py spark EMR IAM EC2

Data Engineering & Modelling: Data Engineering Leadership Data Warehousing Data Vault 2.0 Dimensional Modelling ETL/ELT PySpark SQL Informatica Databricks Delta Lake Integration Data Governance & Optimization: Data Governance Databricks Unity Catalog Data Lifecycle Management Data Quality Performance Optimization Financial Services & BFSI Data Platforms Git DevOps & Automation: CI/CD Automation/ Pipelines Infrastructure as Code (IaC) Terraform Jenkins AI & Emerging Technology: AI-Assisted Engineering GitHub Copilot Claude code Analytical design Leadership & Delivery: Technical Leadership Stakeholder Management Engineering Standards Team Mentoring Agile Knowledge: DBT Snowflake

PROFESSIONAL EXPERIENCE

JP MORGAN CHASE Data Engineering & Cloud Architecture Leadership Jan 2014–Present Career Progression:

01’22 –: Lead Data Engineer / Data Architect

01’18 – 01’22: Lead Data Engineer

01’14 – 01’18: Data Warehouse Engineer

Cloud & Data Modernization

• Led the on-premises-to-AWS modernization of enterprise payments data platforms, reducing infrastructure costs by 30-40% and completing migration within 8–12 months through adoption of Medallion Architecture, cloud-native storage and data lifecycle management.

• Architected 30–50 data pipelines across 4–5 payment data marts, processing 200+ GB/day and supporting 3–12 years of historical data, enabling scalable payments analytics and long-term data retention.

• Drove legacy-platform modernization and decommissioning by documenting complex legacy architectures, dependencies and data flows, enabling retirement of legacy applications/platforms and delivering decommission in infrastructure/licensing savings.

• Optimized AWS and Delta Lake storage environments through lifecycle management and retention policies, reducing storage consumption by 10–15% while maintaining required retention SLAs across 1.8 PB of data. Data Architecture & Engineering

• Designed and optimized enterprise data warehouse, data mart and ETL/ELT architectures using Informatica, Oracle, SQL and PySpark, supporting 15 critical data flows across high-volume payments environments.

• Optimized ETL/ELT workloads through SQL tuning, process redesign, indexing, logging and code improvements, achieving 40–60% reduction in processing time across 30 critical jobs and improving batch-window adherence.

• Established architecture and engineering standards spanning data segregation, reconciliation, logging, restartability, data quality and operational controls, strengthening data integrity and recoverability across multiple data platforms/data marts.

• Served as Feature Owner across multiple data-mart programmes, driving solution architecture, technical decisions, delivery readiness and cross-functional execution across 3 programmes. DevOps, Automation & Engineering Productivity

• Built and standardized Jenkins–Terraform CI/CD and Infrastructure-as-Code frameworks, reducing deployment effort by 20%, accelerating release cycles, and improving consistency across data-platform deployments.

• Introduced AI-assisted engineering workflows using Claude and GitHub Copilot agents for code generation, documentation, code review and development support, reducing engineering effort by 18-25% and saving approximately 60 hours/month.

• Strengthened engineering governance through architecture reviews, peer reviews, production-volume testing and lower- environment dry runs, reducing post-release defects/incidents by 75% across 15 releases. Data Governance, Quality & Operational Excellence

• Established data governance practices and engineering controls for transaction and time-series analytics, improving data quality, traceability and compliance across 5 data domains/data marts.

• Strengthened reconciliation and data-integrity controls, reducing reconciliation exceptions/data discrepancies and improving investigation efficiency.

• Enhanced production support and SLA management through structured job monitoring, notifications and escalation mechanisms, improving SLA adherence and reducing delayed/missed jobs.

• Implemented robust logging, restartability and recovery mechanisms, reducing manual intervention and improving operational resilience across 14 business-critical workflows.

Technical Leadership & Stakeholder Management

• Mentored and technically guided 6–8 engineers, influencing architecture, coding practices, design decisions and delivery standards while improving team productivity/delivery throughput.

• Led cross-functional collaboration across engineering, product/PMO, business and support teams, proactively identifying dependencies and escalating risks early to reduce delivery delays by 15% across 05 projects/releases.

• Established coding, testing, documentation and release-management standards across multiple engineering teams/projects, improving consistency, maintainability and production readiness.

• Acted as a technical SME for transaction, time-series and payments data, translating business requirements into scalable architectures and influencing technical decisions across multiple enterprise programmes. PREVIOUS EXPERIENCE

THOMSON REUTERS Data Warehouse & ETL Engineering Dec 2010–Jan 2014

• Led design and delivery of enterprise data-warehouse platforms supporting business-critical Legal workflows across Oracle and Informatica.

• Re-engineered interdependent ETL workflows, reducing processing time from 9–12 hours to 1–2 hours (~80–90%), enabling faster Legal reporting and decision-making.

• Optimized ODS, data marts and data-warehouse workloads by 50% through indexing, partitioning, push-down optimization and parallel processing.

• Modernized PL/SQL and Informatica ETL workflows with modular architecture, standardized coding and enhanced logging/restart ability, improving reliability and maintainability. ARIS GLOBAL SOFTWARE Lead Architect Feb 2008–Dec 2010 WIPRO TECHNOLOGIES Module Lead Aug 2005–Feb 2008 CERTIFICATION

• AWS Certified Solutions Architect 2022

EDUCATION

• PG Diploma in Advanced Computing CDAC, Coimbatore 2000

• BE, Electronics & Communication Bangalore University 1999

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