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Tanmanpreet Singh

@tanmanpreetsingh

Senior Data Engineer at USAA building real-time streaming pipelines and certified financial datasets across cloud platforms.

United States

Message

What I'm looking for

I’m looking to apply my data engineering skills to transportation, logistics, and supply chain challenges in a real-time enterprise.

At USAA, I built Delta Lake architecture on AWS S3 and integrated it with Snowflake, reducing data duplication by 40%. I also developed dbt models and data marts for C3I customer insights.

At Swiss Re, I led the migration of reinsurance risk models from SAS to PySpark on Databricks, improving performance by 10x–50x. I also developed batch and streaming pipelines processing 5+ TB of data daily.

At Johnson & Johnson, I built clinical trial and medical device data pipelines on GCP, and at Blu Age I automated COBOL-to-Java transformation while preserving original business logic. I’m interested in applying my data engineering experience to transportation, logistics, and supply chain challenges in a real-time enterprise.

Experience

Work history, roles, and key accomplishments

Current

Sr. Data Engineer

Current

USAA

Sep 2020 - Present (6 years 1 month)

Designed logical and physical OLAP models using Erwin, built Delta Lake architecture on AWS S3, and developed dbt models to enforce data quality. Configured Control-M workflows and built real-time streaming pipelines using Kafka and Spark Streaming.

Snowflake Delta Lake S3 Erwin DBT Control M Talon Batch Kafka Spark Streaming YAML GitHub Actions Jenkins Tableau Python PySpark SQL Pytest Jira Confluence Agile Scrum

Data Engineer

Swiss Re

Apr 2019 - Aug 2020 (1 year 4 months)

Led SAS to PySpark migration for reinsurance portfolios, built ETL/ELT pipelines using Azure Data Factory and SSIS, and developed star and snowflake schema dimensional models. Optimized Delta Lake tables and implemented data quality frameworks.

Azure Data Factory Databricks Unity Catalog Delta Lake SSIS NiFi Kafka PySpark Spark SQL Python SQL Git Jenkins Power BI Parquet ORC Avro Jira Confluence Agile Scrum

Data Engineer

Johnson & Johnson

Feb 2018 - Mar 2019 (1 year 1 month)

Built ETL/ELT pipelines processing clinical trial and medical device data using Informatica PowerCenter and PySpark on GCP Dataproc. Designed GCP data pipelines using Cloud Data Fusion, Cloud Storage, and BigQuery, and performed data profiling using Informatica Data Quality.

GCP Dataflow Informatica PowerCenter Google Data Fusion BigQuery Informatica Cloud Data Quality PySpark Spark SQL Python Airflow Spark Structured Streaming Tableau Power BI Git Jenkins Jira Confluence Agile Scrum

Big Data Engineer

Blu Age

Dec 2016 - Dec 2017 (1 year)

Automated COBOL-to-Java transformation using Blu Age Velocity engine, built ETL pipelines using IBM DataStage and Python, and designed Oracle-to-Hadoop migration workflows. Managed CI/CD pipelines using Jenkins and Git with SonarQube quality gates.