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Hi, I’m Sravani Vaka, an IT professional with 7 years of experience in data warehousing, Python, SQL, and cloud platforms like Azure, AWS, Snowflake, and BI tools such as Power BI and Tableau. I’ve designed and optimized data pipelines, data models, and analytics solutions across multi-cloud and on-prem environments. I enjoy collaborating with cross-functional teams, turning complex data into actionable insights, and maintaining clear documentation and governance to ensure reliable, scalable data delivery.…Hi, I’m Sravani Vaka, an IT professional with 7 years of experience in data warehousing, Python, SQL, and cloud platforms like Azure, AWS, Snowflake, and BI tools such as Power BI and Tableau. I’ve designed and optimized data pipelines, data models, and analytics solutions across multi-cloud and on-prem environments. I enjoy collaborating with cross-functional teams, turning complex data into actionable insights, and maintaining clear documentation and governance to ensure reliable, scalable data delivery.

Sravani Vaka

Back-End Developer, Front-End Developer, Data Analyst, +1

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Hi, I’m Sravani Vaka, an IT professional with 7 years of experience in data warehousing, Python, SQL, and cloud platforms like Azure, AWS, Snowflake, and BI tools such as Power BI and Tableau. I’ve designed and optimized data pipelines, data models, and analytics solutions across multi-cloud and on-prem environments. I enjoy collaborating with cross-functional teams, turning complex data into actionable insights, and maintaining clear documentation and governance to ensure reliable, scalable data delivery.…Hi, I’m Sravani Vaka, an IT professional with 7 years of experience in data warehousing, Python, SQL, and cloud platforms like Azure, AWS, Snowflake, and BI tools such as Power BI and Tableau. I’ve designed and optimized data pipelines, data models, and analytics solutions across multi-cloud and on-prem environments. I enjoy collaborating with cross-functional teams, turning complex data into actionable insights, and maintaining clear documentation and governance to ensure reliable, scalable data delivery.

Available to hire

Hi, I’m Sravani Vaka, an IT professional with 7 years of experience in data warehousing, Python, SQL, and cloud platforms like Azure, AWS, Snowflake, and BI tools such as Power BI and Tableau. I’ve designed and optimized data pipelines, data models, and analytics solutions across multi-cloud and on-prem environments.
I enjoy collaborating with cross-functional teams, turning complex data into actionable insights, and maintaining clear documentation and governance to ensure reliable, scalable data delivery.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Language

English

Fluent

Work Experience

Data Engineer at Kroger Health

February 1, 2024 - November 23, 2025

Designed and implemented large-scale data processing systems using Amazon EMR, S3, DynamoDB, and Databricks for distributed compute, storage, and NoSQL workloads. Leveraged AWS compute and storage services such as EC2, S3, Redshift, and Databricks for scalable processing, warehousing, and analytics. Performed data migrations using AWS Glue and DMS. Extracted data from diverse sources and processed it using EMR (PySpark), Databricks (Spark), and AWS Glue jobs. Performed advanced analytics using Redshift and Athena with custom SQL and UDFs. Customized Databricks notebooks, EMR jobs, and AWS Glue workflows for transformations, encryption, and routing, optimizing end-to-end pipelines for performance and scalability. Built analytical and reporting solutions using Redshift, Athena, QuickSight, and Databricks SQL for insights across DynamoDB, EMR, and S3-based datasets. Implemented monitoring with CloudWatch and CloudTrail.

Data Engineer at AMH Homes

February 29, 2024 - February 29, 2024

Loaded semi-structured data (Parquet, Avro, ORC) into DynamoDB, EMR, and Databricks Delta tables using Glue and Databricks for ingestion, transformation, and orchestration. Designed and implemented end-to-end data pipelines using Airflow and IICS, ensuring data security and compliance, and optimized performance in Snowflake data warehouse with SQL best practices. Collaborated with cross-functional teams to understand data requirements, built integration workflows using AWS Glue and IICS for multi-cloud and on-premises data movement, and developed ETL pipelines with Python and AWS Glue. Utilized Apache Spark with Python in Databricks and SageMaker Notebooks to consume data from Kafka and build Spark models, while maintaining technical documentation for Snowflake environment and migrating SQL scripts from Redshift and Athena. Managed AWS infrastructure, including EC2, RDS, S3, and IAM, leveraging AWS EMR for large-scale data transformation. Kept abreast of latest technologies, recommendi

Data Engineer at Medtronic

May 31, 2023 - May 31, 2023

ETL Architecture & Data Integrity: Spearheaded the transformation of ETL architecture using Azure Data Factory, Synapse Analytics, and Databricks, ensuring alignment with corporate data management needs. Implemented rigorous data reconciliation and error handling mechanisms to maintain data integrity throughout processes. Cross-Functional Collaboration & Standards Leadership: Led cross-functional integration efforts, merging BI platforms with enterprise systems using Azure's ecosystem. Established and advocated for Azure data engineering standards, ensuring code quality, integrity, and reusability while maintaining comprehensive documentation of architectures and best practices.

Data Engineer at Mega Minds

December 31, 2020 - December 31, 2020

Architected and deployed a cloud-native infrastructure capable of processing over 5TB/day of streaming and batch data, including security logs, leveraging Apache Kafka, Azure Data Factory, Event Hubs, Databricks, and Synapse. Integrated ServiceNow with Azure and established a robust monitoring system for ETL pipelines using Log Analytics and Logic Apps. Developed PySpark jobs within Azure Databricks to standardize and transform streaming log data, ingesting it into ADLS Gen2 and Azure Synapse. Enhanced performance of data pipelines through optimizations in PySpark jobs and implemented event-based Azure Functions for real-time data transformations. Additionally, engineered event-driven Python serverless applications using Azure Functions for efficient processing.

SQL Developer at Tamanna and Co Ltd

July 31, 2017 - July 31, 2017

Analysed, designed, developed enhancement of the data warehousing application, including the creation of end-to-end pipeline using IICS for ETL operations, designed and implemented SSIS packages, and developed OLAP cubes in SSAS using data warehouse tables and managing database tuning, and performance planning, backup planning and database administration. Extensively used Joins and sub-Queries to simplify complex queries involving multiple tables. Performance tuned SQL statements, queries, triggers, and stored procedures and created indexed views, and appropriate indexes to optimize query performance.