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I am Sai Venkata Sreekar Gali, a Data Engineer with 4+ years of experience in designing and optimizing large-scale data ecosystems across financial, enterprise, and regulatory domains. I specialize in Python, SQL, Spark, Kafka, Snowflake, and cloud platforms (AWS, Azure, GCP) to build real-time and batch data pipelines that power analytics. I am passionate about automating ETL workflows, improving data reliability and governance, and ensuring GDPR, HIPAA, and SOX compliance. I collaborate with cross-functional teams to implement lineage and data quality checks using dbt, Airflow, Terraform, and CI/CD, delivering analytics-ready data for leadership and regulatory reporting.…I am Sai Venkata Sreekar Gali, a Data Engineer with 4+ years of experience in designing and optimizing large-scale data ecosystems across financial, enterprise, and regulatory domains. I specialize in Python, SQL, Spark, Kafka, Snowflake, and cloud platforms (AWS, Azure, GCP) to build real-time and batch data pipelines that power analytics. I am passionate about automating ETL workflows, improving data reliability and governance, and ensuring GDPR, HIPAA, and SOX compliance. I collaborate with cross-functional teams to implement lineage and data quality checks using dbt, Airflow, Terraform, and CI/CD, delivering analytics-ready data for leadership and regulatory reporting.

Sai Venkata Sreekar Gali

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

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I am Sai Venkata Sreekar Gali, a Data Engineer with 4+ years of experience in designing and optimizing large-scale data ecosystems across financial, enterprise, and regulatory domains. I specialize in Python, SQL, Spark, Kafka, Snowflake, and cloud platforms (AWS, Azure, GCP) to build real-time and batch data pipelines that power analytics. I am passionate about automating ETL workflows, improving data reliability and governance, and ensuring GDPR, HIPAA, and SOX compliance. I collaborate with cross-functional teams to implement lineage and data quality checks using dbt, Airflow, Terraform, and CI/CD, delivering analytics-ready data for leadership and regulatory reporting.…I am Sai Venkata Sreekar Gali, a Data Engineer with 4+ years of experience in designing and optimizing large-scale data ecosystems across financial, enterprise, and regulatory domains. I specialize in Python, SQL, Spark, Kafka, Snowflake, and cloud platforms (AWS, Azure, GCP) to build real-time and batch data pipelines that power analytics. I am passionate about automating ETL workflows, improving data reliability and governance, and ensuring GDPR, HIPAA, and SOX compliance. I collaborate with cross-functional teams to implement lineage and data quality checks using dbt, Airflow, Terraform, and CI/CD, delivering analytics-ready data for leadership and regulatory reporting.

Available to hire

I am Sai Venkata Sreekar Gali, a Data Engineer with 4+ years of experience in designing and optimizing large-scale data ecosystems across financial, enterprise, and regulatory domains. I specialize in Python, SQL, Spark, Kafka, Snowflake, and cloud platforms (AWS, Azure, GCP) to build real-time and batch data pipelines that power analytics.

I am passionate about automating ETL workflows, improving data reliability and governance, and ensuring GDPR, HIPAA, and SOX compliance. I collaborate with cross-functional teams to implement lineage and data quality checks using dbt, Airflow, Terraform, and CI/CD, delivering analytics-ready data for leadership and regulatory reporting.

Skills

Experience Level

Expert

Expert

Expert

Expert

Language

English

Fluent

Work Experience

Data Engineer at Citigroup

May 1, 2024 - November 21, 2025

Architected event-driven data pipelines on AWS (Glue, S3, Lambda) to enable high-throughput ingestion of financial transactions and improved analytics latency by 38%. Built scalable PySpark/Databricks transformations standardizing KYC, credit, and market datasets with audit-ready traceability and GDPR-aligned governance. Integrated Kafka streaming with Snowflake external tables for near real-time trade monitoring, boosting anomaly detection accuracy by 30%. Built dbt-based data lineage and quality checks (200+ model checks) to improve trust in dashboards and regulatory filings. Automated ELT workflows with Airflow and Terraform, improving SLA adherence. Implemented CI/CD with GitHub Actions. Collaborated with business units to model liquidity and exposure data for Power BI dashboards.

Data Engineer at TCS

July 1, 2023 - July 1, 2023

Automated regulatory pipelines using Informatica and SQL, processing 10K+ loan records daily and improving AML reporting accuracy by 33%. Built reusable ingestion accelerators with Apache NiFi and Python, reducing new source onboarding from three weeks to four days. Implemented fine-grained access controls in Snowflake and Synapse for GDPR, HIPAA, and audit requirements. Designed incremental load strategies using Delta Lake and Spark, reducing cloud compute costs by 38% and enabling near real-time dashboards. Standardized lineage documentation and metadata cataloging with Collibra and dbt, improving dataset discoverability by 60%. Collaborated with data scientists to build feature stores for fraud detection models, boosting training efficiency by 22%. Implemented automated anomaly detection alerts with AWS Lambda and CloudWatch, reducing incident resolution time by 45%.