Akhil Sriram
Cloud Data Engineer (Azure/GCP/Snowflake) | Big Data | Data Pipelines | Actively Seeking Data Engineer & Data Analyst Roles
- Role
- Data Analytical Engineer at Infosys
- Location
- Dallas, TX, US
- LinkedIn followers
- 500 followers
About Akhil Sriram
Data doesn\'t become valuable until someone builds the infrastructure to move it…
Experience
Data Analytical Engineer
Apr 2024 — Present · Richardson, TX, US
Designed and developed scalable data pipelines for ingesting data from relational databases (Oracle, SQL Server, DB2, Aurora), file shares, and web services.• Built and optimized AWS S3-based Data Lakes with efficient partitioning and compression strategies for enhanced performance.• Developed data engineering and analytics solutions leveraging AWS Glue, Informatica, EMR, Spark, and Athena.• Designed and implemented data models and built Data Warehouses using Snowflake for enterprise data analytics.• Engineered ETL pipelines utilizing DBT and Denodo to streamline data integration and transformation processes.• Developed and maintained integration architectures, including SOA, microservices, and ETL-based solutions.• Worked with JSON and XML data modeling to facilitate structured and semi-structured data processing.• Integrated Business Intelligence applications such as Power BI for data visualization and reporting.• Utilized Git/GitHub for source code management, implementing branching strategies for version control.• Implemented and optimized database architectures, ensuring high performance in both NoSQL and relational database environments.• Developed and deployed AWS services, including S3, Kinesis, Lambda, Glue, EMR, and Athena, for data processing and analytics.• Applied Agile methodologies to participate in the full software development lifecycle, from requirements gathering to deployment.• Demonstrated strong problem-solving, collaboration, and communication skills while working in cross-functional teams. Designed and implemented data governance and security best practices to ensure compliance with enterprise data policies.• Developed and optimized SQL queries and stored procedures for efficient data extraction, transformation, and loading (ETL).
Education
University of North Texas
Master's degree
Vignan's Foundation for Science, Technology & Research
Bachelor of Technology
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