Keerthi Savadamuthu   Data Engineer

Keerthi Savadamuthu Data Engineer

Data Engineer @ Altimetrik

About Keerthi Savadamuthu Data Engineer

Keerthi Savadamuthu is a Data Engineer with expertise in creating branching strategies in DevOps and managing CI/CD pipelines in Azure DevOps. He has worked at Infosys and currently contributes to Altimetrik, focusing on data transformation using Databricks and building data pipelines for Amazon Redshift.

Work at Altimetrik

Keerthi Savadamuthu has been employed at Altimetrik as a Data Engineer since 2022. In this role, Keerthi focuses on building data pipelines that facilitate the ingestion of data from various sources into the Amazon Redshift Database. This position involves utilizing advanced data engineering techniques to ensure efficient data processing and storage.

Previous Experience at Infosys

Prior to joining Altimetrik, Keerthi Savadamuthu worked at Infosys in various capacities. From 2020 to 2022, Keerthi served as a Senior System Engineer, and from 2018 to 2020, as a System Engineer. Additionally, Keerthi completed a five-month internship at Infosys in 2018. In 2022, Keerthi also held the position of Technology Analyst for four months. These roles involved significant contributions to software development and data management.

Education and Expertise

Keerthi Savadamuthu earned a Bachelor of Engineering (BE) degree in Electrical, Electronics and Communications Engineering from Dr. Mahalingam College of Engineering and Technology, studying from 2014 to 2018. Prior to this, Keerthi studied Mathematical Biology at Green Park Matric. Hr. Sec. School from 2012 to 2014. Currently, Keerthi is studying Mathematical Biology at Soundararaja Vidhyalaya CBSE School.

Technical Skills and Projects

Keerthi Savadamuthu specializes in developing data pipelines and has experience in creating branching strategies in DevOps for development and release processes. Keerthi has worked extensively with CI/CD pipelines in Azure DevOps, focusing on building and deploying code to both test and production environments. Additionally, Keerthi has developed Databricks Notebooks using Pyspark and Spark SQL to transform ingested data, creating generic notebooks for Slowly Changing Dimensions (SCD1 and SCD2) types.

Collaboration and Data Modeling

In previous roles, Keerthi Savadamuthu collaborated with onsite teams to gather business requirements and engage in data modeling activities. This collaboration has been essential in ensuring that data solutions align with business needs and operational objectives.

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