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Passionate About Inspiring Others

I am a full stack Data Engineer with over 10+ years of Industry experience. 


I have worked in a variety of settings to build systems that collect, manage, and convert raw data into usable information for data scientists and business analysts to interpret. The ultimate goal was to make data accessible so that organizations can use it to evaluate and optimize their performance


Supreeth Gowda

(Ex-Amazon, Ex-Time Inc, Ex-Sonos)

"Data is the new oil for a digital world"

Data allows organizations to measure the effectiveness of a given strategy: When strategies are put into place to overcome a challenge, collecting data will allow you to determine how well your solution is performing, and whether or not your approach needs to be tweaked or changed over the long-term.

We provide Data Engineering services to help do the heavy lifting of filtering and fine graining the data so that the stakeholders of data such as Data Scientists and Data Analysts can focus on their area of expertise.

Data Engineering Solutions:

Data pre-processing: Python ( AWS : EC2, ECS, Lambda ), PySpark ( AWS: EMR, Glue ) 

Containerizing: AWS: ECS, Fargate

Data Analytics: AWS: Glue, Athena, Delta Lake, EMR, Quicksight

Data Warehousing: AWS: Redshift Spectrum

Databases: AWS: RDS,Aurora, DynamoDB

Orchestration: Apache Airflow, AWS MWAA ( Managed Workflows for Apache Airflow)


  • Data Engineer II - Amazon Web Services

  • Data Engineer - Meredith Corp ( Time Inc. )

  • Software Test Engineer - Sonos Inc.

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