Summary
Overview
Work History
Education
Skills
Certification
Awards
Soft Skills
Languages
Timeline
Hi, I’m

Sreekuttan Jayakumar

Hyderabad,TG
Sreekuttan Jayakumar

Summary

AWS Certified Senior Data Engineer with 5 years of experience designing and implementing scalable data architectures to support advanced analytics and business intelligence. Adept at building and optimizing ETL workflows using AWS services, Snowflake, Redshift, Python, and PySpark to integrate complex, diverse data sources and enable real-time insights. Proven track record in leading cross-functional global teams, mentoring engineers, and delivering high-performance, cloud-native data solutions that enhance decision-making and operational efficiency.

Overview

5
years of professional experience
1
Certification

Work History

Jaggaer

Senior Data Engineer
05.2025 - Current

Job overview

  • Assumed ownership of Jaggaer Direct (JD) project, conducting end-to-end analysis of data pipeline flow from MySQL source through PDI ETL hosted on ECS to Snowflake destination, leading discovery efforts for migration strategy optimization
  • Managing production support and incident resolution for live data pipelines, ensuring system reliability and data integrity across the complete ETL workflow
  • Remote

Principal Global Services

Senior Data Engineer
03.2024 - 05.2025

Job overview

  • Developed and enhanced Power BI-based Investment Need Communication Tool v3.1, integrating data from multiple sources including GA Deal Allocation Dashboard and PM Analysis pipeline, implementing automated daily refreshes using AWS Lambda, Step Functions, and Snowflake Streams
  • Redesigned and optimized ALFA Attribution and PM Analysis pipelines into unified data pipeline, reducing compute costs by 30% and doubling query performance through migration from Redshift to Snowflake Iceberg tables in S3, implementing workflow orchestration via Step Functions
  • Led development of Power BI dashboard for risk team GIC issuance decisions, integrating Bloomberg APIs and Snowflake Tasks with automated data validation pipeline ensuring accurate real-time insights for investment committee
  • Conceptualized and developed AWS-based data ingestion template automating 90% of data quality validation checks and reducing data errors by 40%, implementing standardized validation framework with built-in tests for duplication, integrity, and range validation
  • Led team of 4 junior engineers, mentoring them on best practices for ETL development and cloud-based data engineering

Principal Global Services

Data Engineer
11.2021 - 02.2024

Job overview

  • Built centralized data mart supporting portfolio allocation strategies, integrating data from AWS S3, Athena, and Redshift, designing and developing two analytical dashboards in QuickSight (Pricing Dashboard and Purchase Dashboard) providing insights into investment performance with optimized ETL processes
  • Engineered benchmark data transformation pipeline automating weighting calculations based on Bloomberg market values, leveraging PySpark in Amazon Glue to process and validate complex asset allocations, integrating QuickSight dashboard toggles enabling dynamic switching between allocation models, contributing to $120 million in profit through improved data accuracy
  • Developed automated data quality framework with real-time validation checks in benchmark allocation pipeline, designing tests for duplication, range validation, row counts, null handling, and integrity constraints, implementing Microsoft Graph API with AWS Lambda for business user notifications
  • Designed parallel-processing data ingestion pipeline migrating from Azure CI/CD to GitHub Actions and upgrading from AWS CDK v1 to v2, developing Lambda-based Redshift ingestion using psycopg2 for PAA, SAA, and TAA data with event-driven approach
  • Developed Power BI allocation dashboard enabling fund allocation across asset classes based on weighted average life, ratings, and risk exposure, integrating user inputs into QuickSight and automating daily updates using Lambda and Boto3
  • Built hierarchical forecasting system for 50-year investment projections integrating cross-account data across multiple AWS environments, implementing secure cross-account IAM roles with AWS Glue, Lambda, and S3 for data transformation
  • Upgraded TAA by Segment to include PAA and SAA, improving segment-level ALFA projection generation with 30% reduction in processing time through refactoring using Pandas in AWS Lambda
  • Spearheaded PM Analysis Dashboard migration from QuickSight to Power BI, improving report speed and real-time data access through direct Snowflake integration

Principal Global Services

Trainee Engineer
11.2020 - 10.2021

Job overview

  • Developed AWS-based data pipeline for company holdings projections, enhancing forecasting accuracy through QuickSight dashboard with 5-year projections, implementing serverless architecture with AWS Lambda, S3, SQS, Glue, Redshift Spectrum, and Step Functions
  • Designed and implemented automated TAA reporting workflow generating Excel reports with 150+ columns
    per segment, building event-driven pipeline with S3 replication, Lambda, and Step Functions using Pandas for data transformation

Education

APJ Abdul Kalam Technological University
Kerala

Bachelor of Technology from Computer Science and Engineering
09.2020

University Overview

Govt. Higher Secondary School
Neyyattinkara

Associate of Science
03-2016

University Overview

NSS English Medium High School
Dhanuvachapuram

High School Diploma
03-2014

University Overview

Skills

  • Cloud & Infrastructure: AWS (Lambda, CloudFormation, Step Functions, S3, Athena, Glue, Redshift, SNS, SQS, DynamoDB, AWS CDK, API Gateway, RDS)
  • Data Platforms: Snowflake (Data Modeling, Tasks, Streams, Snowpipe, Stage Creation, Iceberg Table Management, Performance Tuning), Amazon Redshift
  • Programming & Frameworks: Python, PySpark, SQL, Pandas, NumPy
  • Data Pipeline & ETL: Data Pipeline Design, ETL Processes, Data Validation, Automated Data Quality Testing, Workflow Orchestration, Data Migration
  • Visualization & BI: Power BI, Amazon QuickSight
  • CI/CD & Orchestration: GitHub Actions, Microsoft Azure Pipeline
  • Data pipeline development

Certification

AWS Certified Data Engineer - Associate (October 2024)

Awards

Awards
Winner, PGI Code Jam 2021 (Hackathon), You Are a Gem Award (2024), Team Excellence Award (2022), Ace Performer (2022), Spot Awards (H2 2022, H1 2022, H2 2021)

Soft Skills

Soft Skills
Team Leadership, Mentoring, Cross-functional Collaboration, Technical Communication, Problem Solving, Project Management, Stakeholder Management

Languages

Malayalam, English, Hindi, Tamil

Timeline

Senior Data Engineer
Jaggaer
05.2025 - Current
Senior Data Engineer
Principal Global Services
03.2024 - 05.2025
Data Engineer
Principal Global Services
11.2021 - 02.2024
Trainee Engineer
Principal Global Services
11.2020 - 10.2021
APJ Abdul Kalam Technological University
Bachelor of Technology from Computer Science and Engineering
Govt. Higher Secondary School
Associate of Science
NSS English Medium High School
High School Diploma
Sreekuttan Jayakumar