Krishna Podili

● Design, build, and expand backend data infrastructure, including data pipelines, ETL, infrastructure as code (IaC), data warehouses, and data APIs
● Build infrastructure as code (IaC) systems to enable the team to build, change, and version infrastructure safely and efficiently
● Expand functionality within existing systems and tooling
● Translate complex business requirements into usable, scalable data models and systems
● Automate data integration and loading Using Snowflake, DBT, Terraform, AWS, Python, Github Actions, GX.
● Mentor other engineers and analysts on the team and share technical knowledge

• Extract data from multiple sources, integrate disparate data into common data model, and integrate data into target database, application, or file using efficient programming processes for data lake
• Define and implement integrated data models, allowing integration of data from multiple sources
• Design and develop scalable, efficient data pipeline processes to handle data ingestion, cleansing, transformation, integration, and validation required to provide access to prepared data sets to analysts and data scientists
• Ensure performance and reliability of data processes Define and implement data stores based on system requirements and consumer requirements Document and test data processes including performance of through data validation.

• Worked on building new cloud data warehouse platform
• Worked with various teams within the company to establish priorities and manage expectations with regards to collection, review, and deployment of data
• Worked with various Product Owners for providing end to end BI solution by configuring metadata and building Analytics Repository, dimensional modeling design, building business models and generating reports
• Old platform: SQL server 2008, Stored Procedures and business objects
• New platform: AWS, Snowflake, Matillion and tableau.