Sree Venu Vaka
Data Engineer @Averon Solutions
Signup · Get unlimited contacts
WORK HISTORY
Data Engineer @Averon Solutions
NJ, US
Led migration from on-prem to Azure using ADF and Synapse, improving analytics for 200+ healthcare practices.*Designed ETL/ELT pipelines in ADF for data integration, enabling Power BI insights and revenue optimization.*Ensured timely and secure data flow with ADF triggers, Integration Runtimes, alerts, and role-based access via Azure AD.*Applied machine learning models using Azure ML for predictive analytics and customer behavior segmentation.*Conducted NLP tasks with Azure Cognitive Services and performed PCA, feature engineering using Pandas and NumPy.*Built Power BI dashboards to monitor care gaps, revenue trends, and operational performance across healthcare systems.*Implemented CI/CD with Git and Azure DevOps for automated pipeline deployment in an Agile environment.
EDUCATION
University of Central Missouri
Master's degree, MS in Big Data Analytics & IT
ABOUT SREE VENU VAKA
Currently working as a Data Engineer, focusing on large-scale data processing, ETL pipelines, and cloud-based data infrastructure.* Led the successful migration of on-premises systems to Azure using ADF and Synapse Analytics, enabling scalable analytics for 200+ healthcare practices.*Designed and implemented robust ETL/ELT pipelines in Azure Data Factory and GCP, integrating data from various structured and semi-structured sources.*Automated data workflows with ADF triggers and GCP Cloud Composer to ensure reliable and timely data processing.*Configured Integration Runtimes in ADF for secure on-prem to cloud data connectivity and transformation.*Built Kafka-Spark streaming pipelines processing over 3TB/day to support real-time healthcare and pharmaceutical operations.*Developed PySpark workflows to automate ingestion from Cloud Storage, BigQuery, and Web APIs, reducing manual effort.*Transformed 2TB+ of complex data formats (JSON, Avro, XML, Parquet) using Spark and Scala, improving processing speed.*Optimized daily ingestion of millions of records via Sqoop into HDFS and BigQuery, achieving 10% cost savings on storage.*Integrated AWS Kinesis and Kafka with Spark Streaming to support real-time ingestion and analytics of pharmacy orders and logs.*Created dynamic Power BI dashboards to visualize operational metrics like patient care gaps, revenue trends, and scheduling delays.*Applied machine learning models (regression, decision trees, ensemble methods) using Azure ML for predictive healthcare analytics.*Leveraged Azure Cognitive Services for NLP use cases such as sentiment analysis on patient feedback.*Executed data cleaning, feature scaling, and dimensionality reduction (PCA) using Pandas and NumPy for ML readiness.*Delivered real-time insights and fulfilled ad-hoc data requests using advanced SQL across internal and client teams.*Built CI/CD pipelines using Git and Azure DevOps, enabling automated deployment and continuous integration.*Improved Spark SQL query performance by 25%, reducing processing costs and boosting product search efficiency.* Recognized with an Excellent Support Award for implementing a sentiment analysis module in an insurance application.* Open to roles that blend software engineering, analytics, and data engineering to drive innovation.* Actively seeking opportunities to contribute to high-impact, data-driven projects in fast-paced environments.
This profile is compiled from publicly available professional sources. Unifers is not affiliated with or endorsed by LinkedIn. Request removal of this profile.