Open to opportunities

Aamod Talauliker

@aamodtalauliker

Message

I lead AWS data engineering, building scalable ETL and cloud data warehouses.

India

Message

What I'm looking for

I’m looking for a Senior AWS data engineering role where I can lead end-to-end data platform delivery, optimize ETL for performance and cost, and mentor teams building secure analytics on AWS.

I’m a Senior AWS Data Engineer and Lead Data Engineer with over 9 years of experience designing scalable cloud-based data platforms, ETL pipelines, and enterprise data warehouses on AWS. I specialize in AWS Glue, Python, PySpark, SQL, and analytics ecosystems using S3, Athena, Redshift, and Snowflake.

In my current role, I drive data warehousing projects from scoping and requirements to design, development, acceptance testing, and delivery—while focusing on secure, scalable outcomes aligned to organizational objectives. I’ve optimized query performance with AWS Glue Jobs, strengthened data quality through cleansing and transformations, reduced Glue job expenses by 50%, and built robust pipelines using S3, Step Functions, Lambda, SQS/SNS, CloudWatch Events, IAM roles, and CloudFormation. I also mentor engineers through code reviews, tasking, unit testing, and ongoing coaching.

Experience

Work history, roles, and key accomplishments

Current

Lead AWS Data Engineer

Current

Zimetrics Technologies Private

Mar 2022 - Present (4 years 3 months)

Led end-to-end AWS data warehousing projects, from scoping and requirements through design, acceptance testing, and delivery. Optimized Glue ETL for faster Athena/redshift querying and reduced Glue job expenses by 50% while building secure, scalable multi-source data pipelines and mentoring engineers.

AWS Glue Pyspark Python SQL Amazon S3 Step Functions AWS Lambda Amazon Athena Amazon Redshift Snowflake

Software Developer (AWS ETL)

Creative Capsule Infotech

Mar 2017 - Mar 2022 (5 years)

Developed and maintained AWS ETL pipelines using Python and PySpark on AWS Glue, orchestrated with Step Functions. Built and validated data lakes/warehouses using S3, Glue, Redshift/Snowflake, and Athena, including SCD and fact/dimension modeling.