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I am a results-oriented data engineer specializing in architecting and operating cloud-native data ecosystems. I excel at building high-volume ETL/ELT pipelines, designing scalable data models, and implementing governance to ensure reliable analytics and ML readiness across the enterprise. I collaborate with analytics and product teams to translate complex business needs into practical data products, automate infrastructure with Terraform and CI/CD, and continuously improve data quality, accessibility, and performance.…I am a results-oriented data engineer specializing in architecting and operating cloud-native data ecosystems. I excel at building high-volume ETL/ELT pipelines, designing scalable data models, and implementing governance to ensure reliable analytics and ML readiness across the enterprise. I collaborate with analytics and product teams to translate complex business needs into practical data products, automate infrastructure with Terraform and CI/CD, and continuously improve data quality, accessibility, and performance.

Lokesh Chowdary Jasti

Data Scientist, Data Analyst, Full Stack Developer, +2

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I am a results-oriented data engineer specializing in architecting and operating cloud-native data ecosystems. I excel at building high-volume ETL/ELT pipelines, designing scalable data models, and implementing governance to ensure reliable analytics and ML readiness across the enterprise. I collaborate with analytics and product teams to translate complex business needs into practical data products, automate infrastructure with Terraform and CI/CD, and continuously improve data quality, accessibility, and performance.…I am a results-oriented data engineer specializing in architecting and operating cloud-native data ecosystems. I excel at building high-volume ETL/ELT pipelines, designing scalable data models, and implementing governance to ensure reliable analytics and ML readiness across the enterprise. I collaborate with analytics and product teams to translate complex business needs into practical data products, automate infrastructure with Terraform and CI/CD, and continuously improve data quality, accessibility, and performance.

Available to hire

I am a results-oriented data engineer specializing in architecting and operating cloud-native data ecosystems. I excel at building high-volume ETL/ELT pipelines, designing scalable data models, and implementing governance to ensure reliable analytics and ML readiness across the enterprise.

I collaborate with analytics and product teams to translate complex business needs into practical data products, automate infrastructure with Terraform and CI/CD, and continuously improve data quality, accessibility, and performance.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Work Experience

Data Engineer at Insight Enterprises

July 1, 2025 - Present

Architected and deployed serverless data ingestion frameworks for 15+ sources using AWS Lambda and S3, reducing manual intervention by 40% and improving data freshness by 6 hours. Engineered dimensionally modeled schemas in Amazon Redshift, accelerating BI dashboards for 500+ monthly active users. Automated Glue and PySpark workflows managing 8TB daily incremental data, achieving 99.9% pipeline reliability and shaving 3 hours off batch windows. Reduced monthly cloud storage costs by 20% (≈$4,500) via intelligent S3 tiering and lifecycle policies. Established a data quality framework with 150+ validations across 12 pipelines, decreasing downstream incidents by 30%. Migrated 3 legacy on-prem SQL Server databases to cloud-native Parquet formats on S3 to support projected data growth. Automated infrastructure provisioning for 50+ AWS resources with Terraform, cutting environment setup time from 3 days to under 2 hours. Worked with analytics and product teams to translate 20+ business req

Junior Data Engineer at Mindtree

January 1, 2022 - June 1, 2023

Designed and implemented Python-based ETL scripts to automate data extraction from 7 REST APIs and SOAP services, reducing weekly manual data collection by 55%. Optimized 50+ SQL queries with indexing on PostgreSQL and Redshift, cutting average report runtime and saving compute hours. Built and monitored Talend pipelines processing 5TB monthly data, maintaining SLA for financial close and regulatory reporting. Authored runbooks for 8 critical data processes, improving ramp-up and ops efficiency. Contributed to a sales performance data mart enabling 20% analytics adoption among 150 users. Monitored 15 pipelines and resolved 95% of incidents within 2 hours, implementing fixes for recurring issues. Enhanced dimensional models for customer analytics with 2M active profiles. Delivered 20+ Tableau dashboards for executives influencing marketing decisions.

Data Engineer Intern at Mindtree

June 1, 2021 - December 1, 2021

Performed data cleansing and enrichment for 1.2M marketing records using Python and PySpark, improving data quality scores by 25%. Supported cloud migration PoC by scripting ETL to move 500GB of historical logs from on-prem Hadoop to AWS S3. Participated in 3 Agile sprints, completing 98% of JIRA tickets related to pipeline development and bug fixes.