Sruthi Dama

With over five years of experience designing, developing, and optimizing scalable data pipelines and cloud-based data solutions across AWS and Microsoft Azure environments, I bring strong expertise in data engineering, distributed data processing, ETL/ELT development, data warehousing, and workflow orchestration. I am passionate about building scalable, efficient, and reliable data platforms that enable organizations to make informed, data-driven decisions.

Data Engineer - T-Mobile In my recent role as a Data Engineer at T-Mobile, I worked on designing and maintaining scalable data solutions and collaborating with cross-functional teams.

• Designed and maintained scalable ETL/ELT pipelines
• Developed large-scale data processing applications
• Optimized SQL and data transformation workflows
• Automated pipeline execution and monitoring using Apache Airflow
• Collaborated closely with data analysts, software engineers, and business stakeholders to deliver scalable and business-critical data solutions

Data Engineer - Pioneer IT Associates

Previously, at Pioneer IT Associates, I developed cloud-based data pipelines using AWS services and worked extensively with distributed processing technologies.

• Developed cloud-based data pipelines using AWS services including Amazon S3, AWS Glue, EMR, Databricks, and Amazon Redshift
• Worked extensively with PySpark, Apache Spark, Hive, SQL, and Airflow
• Supported production deployments
• Troubleshooted data processing issues
• Performed root cause analysis
• Optimized Spark workloads for improved performance and reliability

Data Engineer - Gaman Software Solutions

Earlier in my career at Gaman Software Solutions, I gained hands-on experience with the Microsoft Azure data ecosystem and modern data platforms.

• Developed ETL workflows using Azure Data Factory
• Built distributed processing solutions with Azure Databricks and PySpark
• Worked with Azure Data Lake Storage Gen2, Azure Blob Storage, Azure Synapse Analytics, Snowflake, and dbt