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Aman Garg

@amangarg4

Senior Data Engineer at RENTOMOJO building Snowflake pipelines that process billions of records daily.

At RENTOMOJO, I build PySpark pipelines that process billions of records daily and deliver multi-terabyte datasets to Snowflake. I also designed incremental-load strategies that reduced processing time by 40% while preserving historical data integrity.

I work on Snowflake capabilities including Snowpark, Streams, Tasks and Snowpipe, and contributed to Databricks lakehouse development with Delta Lake, Auto Loader and Unity Catalog. I supported the migration of approximately 200 tables from Databricks transformations to dbt models.

Earlier, at STEPSETGO, I optimized AWS Glue jobs and Athena queries, reducing query execution costs by 25%. Across my data engineering roles, I’ve developed ETL pipelines, incremental-loading approaches and data-quality checks for analytics-ready datasets.

Experience

Work history, roles, and key accomplishments

Current

Senior Data Engineer

Current

Rentomojo

May 2022 - Present (4 years 6 months)

Designed and delivered end-to-end ETL pipelines using PySpark and Apache Airflow, ingesting multi-terabyte datasets into Snowflake. Implemented data-quality checks, incremental loading, and supported migration of 200 tables to dbt.

PySpark Airflow Snowflake Snowflake Snowpark Streaming

Task

Snowpipe DBT Databricks Delta Lake

Auto Loader

Unity Catalog Python SQL AWS S3 Athena Glue Redshift Lambda SNS Amazon SQS Terraform

ArgoWorkflows

CircleCi CI CD PostgreSQL MongoDB Apache Iceberg Data Quality Data Migration ETL ELT CDC Incremental Loading Data Modeling Performance Optimization Partitioning Caching

Compression

Data Engineer

StepSetGo

May 2021 - Apr 2022 (11 months)

Optimized AWS Glue ETL jobs and Athena queries using partitioning, caching, and compression, reducing query costs by 25%. Implemented CDC-based incremental loading and built Apache Iceberg tables for improved performance.

AWS Glue Athena PySpark Apache Iceberg CDC Incremental Loading Partitioning Caching

Compression

S3 Data Catalogs ETL Performance Optimization

Data Engineer

Fractal Analytics

Jun 2020 - Apr 2021 (10 months)

Developed Python and PySpark ETL pipelines for structured and semi-structured data from APIs, S3, and relational databases. Created AWS Glue jobs and integrated Lambda with S3 triggers for automation.

Python PySpark AWS Glue Lambda S3 ETL SQL Stored Procedures Data Quality Data Processing

Data Engineer

Optimus Information

Jan 2019 - Jun 2020 (1 year 5 months)

Wrote optimized SQL queries using indexing and partitioning strategies. Built monitoring scripts for pipeline execution and automated schema detection with AWS Glue Crawlers.