Lathish Kulal

Data Engineer

Bengaluru, Karnataka, India7 yrs 8 mos experience

Most Likely To Switch

Key Highlights

7+ years of experience in data engineering.
Expert in building ETL pipelines on AWS.
AWS Certified Solutions Architect and DevOps Engineer.

Stackforce AI infers this person is a Data Engineer specializing in AWS solutions for SaaS and Fintech industries.

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Skills

Core Skills

Data EngineeringAwsCloud Engineering

Other Skills

AWS CloudFormationAWS CodeBuildAWS CodeCommitAWS CodeDeployAWS CodePipelineAWS GlueAWS LambdaAirflowAmazon AlexaAmazon DynamodbAmazon EC2Amazon ECSAmazon RedshiftAmazon Relational Database Service (RDS)Amazon Route 53

About

I’m a Senior Data Engineer with over 7 years of experience designing and delivering scalable, secure, and cost-efficient data platforms on AWS. I specialize in building end-to-end ETL pipelines using PySpark, AWS Glue, Python, Athena, and Lake Formation to transform raw data into actionable business insights. My work includes migrating on-prem data to AWS, automating data curation pipelines, optimizing cost and performance on EMR/Glue, and integrating curated data with Power BI and analytics platforms. I’m passionate about data architecture, performance tuning, and automation, and have led multiple high-impact initiatives that improved data reliability and reduced processing time AWS Certified (Solutions Architect – Professional | DevOps Engineer – Professional) with a strong foundation in Python, SQL, and modern data lake architectures. 📍Based in Bangalore | 💼 Open to Senior / Lead Data Engineer roles 📩 Reach me at lathish.k96@gmail.com

Experience

Principal global services

Senior Data Engineer

May 2023 – Present · 2 yrs 10 mos · Remote

Key Highlights:
Designed and deployed data pipelines to ingest and curate large datasets from on-prem mainframe systems into AWS (Raw → Curated → Consumption zones).
Built secure data lakes using AWS Glue, Lake Formation, S3, Step Functions, and KMS for end-to-end encryption and access control.
Delivered Power BI integration by exposing curated data through Athena views for business insights.
Automated file ingestion and validation frameworks, reducing manual operations by 40%.
Implemented cost and performance optimizations for Glue and Athena workloads.
Recognized with the “Rising Star Award” for impactful data automation and delivery excellence.

AWS GlueLake FormationS3Step FunctionsKMSAthena+3

Infosys

2 roles

Technology Analyst

Promoted

Oct 2021 – May 2023 · 1 yr 7 mos · Bangalore Urban, Karnataka, India · Remote

Key Highlights:
Built and optimized PySpark + AWS Glue pipelines for data ingestion and transformation layers in a large-scale banking data platform.
Designed and maintained data workflows integrating Redshift, S3, Airflow, and Jenkins.
Improved ETL job performance by 30% through Spark optimization and efficient partitioning.
Developed CI/CD automation pipelines using Jenkins and GitHub to enable faster deployments.
Collaborated with global stakeholders to ensure data quality, compliance, and scalability.
Received the “Cloud Professional” recognition for AWS delivery excellence.

PySparkAWS GlueRedshiftS3AirflowJenkins+2

Senior System Engineer

Mar 2021 – Sep 2021 · 6 mos · Bangalore Urban, Karnataka, India · Remote

Mindtree

Cloud Engineer

Jul 2018 – Mar 2021 · 2 yrs 8 mos · Bengaluru, Karnataka, India

Managed and maintained AWS infrastructure (S3, EC2, ECS, Lambda, VPC) for enterprise data pipelines.
Developed Python and SQL-based ETL scripts for daily data ingestion and curation workflows.
Supported production deployment and incident management, ensuring 99.9% uptime for data flows.
Improved system monitoring and reduced resolution time for ETL failures by 25%.
Recognized with the “Hats Off Award” for client delivery excellence and proactive issue resolution.

AWSPythonSQLCloud EngineeringData Engineering