Looks like you have JavaScript disabled. For the full Twine experience, you will need to re-enable it.

Hi, I’m Sai Vamsi Krishna Maddineni, an AWS Data Engineer with 7+ years of experience building scalable data platforms on AWS, Azure, and Databricks. I design and optimize data pipelines, implement real-time streaming solutions, and architect data warehouses using Redshift, Snowflake, and Spark frameworks. I also automate infrastructure with Terraform and CloudFormation, and drive data quality and governance across finance and healthcare domains. I enjoy collaborating with cross-functional teams to deliver reliable data products, mentor junior engineers, and continuously improve performance through profiling, tuning, and introducing modern tooling like Delta Lake, DBT, and CI/CD pipelines. I'm passionate about turning complex data into actionable insights with Power BI, Tableau, and dashboards.…Hi, I’m Sai Vamsi Krishna Maddineni, an AWS Data Engineer with 7+ years of experience building scalable data platforms on AWS, Azure, and Databricks. I design and optimize data pipelines, implement real-time streaming solutions, and architect data warehouses using Redshift, Snowflake, and Spark frameworks. I also automate infrastructure with Terraform and CloudFormation, and drive data quality and governance across finance and healthcare domains. I enjoy collaborating with cross-functional teams to deliver reliable data products, mentor junior engineers, and continuously improve performance through profiling, tuning, and introducing modern tooling like Delta Lake, DBT, and CI/CD pipelines. I'm passionate about turning complex data into actionable insights with Power BI, Tableau, and dashboards.

Sai Vamsi Krishna Maddineni

Data Scientist, Data Analyst, Full Stack Developer, +3





Hi, I’m Sai Vamsi Krishna Maddineni, an AWS Data Engineer with 7+ years of experience building scalable data platforms on AWS, Azure, and Databricks. I design and optimize data pipelines, implement real-time streaming solutions, and architect data warehouses using Redshift, Snowflake, and Spark frameworks. I also automate infrastructure with Terraform and CloudFormation, and drive data quality and governance across finance and healthcare domains. I enjoy collaborating with cross-functional teams to deliver reliable data products, mentor junior engineers, and continuously improve performance through profiling, tuning, and introducing modern tooling like Delta Lake, DBT, and CI/CD pipelines. I'm passionate about turning complex data into actionable insights with Power BI, Tableau, and dashboards.…Hi, I’m Sai Vamsi Krishna Maddineni, an AWS Data Engineer with 7+ years of experience building scalable data platforms on AWS, Azure, and Databricks. I design and optimize data pipelines, implement real-time streaming solutions, and architect data warehouses using Redshift, Snowflake, and Spark frameworks. I also automate infrastructure with Terraform and CloudFormation, and drive data quality and governance across finance and healthcare domains. I enjoy collaborating with cross-functional teams to deliver reliable data products, mentor junior engineers, and continuously improve performance through profiling, tuning, and introducing modern tooling like Delta Lake, DBT, and CI/CD pipelines. I'm passionate about turning complex data into actionable insights with Power BI, Tableau, and dashboards.

Available to hire

Hi, I’m Sai Vamsi Krishna Maddineni, an AWS Data Engineer with 7+ years of experience building scalable data platforms on AWS, Azure, and Databricks. I design and optimize data pipelines, implement real-time streaming solutions, and architect data warehouses using Redshift, Snowflake, and Spark frameworks. I also automate infrastructure with Terraform and CloudFormation, and drive data quality and governance across finance and healthcare domains.

I enjoy collaborating with cross-functional teams to deliver reliable data products, mentor junior engineers, and continuously improve performance through profiling, tuning, and introducing modern tooling like Delta Lake, DBT, and CI/CD pipelines. I’m passionate about turning complex data into actionable insights with Power BI, Tableau, and dashboards.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Language

English

Fluent

Work Experience

AWS Data Engineer at Beal Bank

April 1, 2022 - November 6, 2025

Migrated on-prem Cloudera to AWS EMR and developed PySpark ETL pipelines to store and process logs in AWS S3 Data Lake. Designed and optimized ETL workflows for batch and real-time ingestion, including data validation and loading into AWS Redshift. Prototyped storing server logs in MongoDB for alert metrics. Leveraged Alteryx for advanced data preparation and analytics. Implemented real-time data validation and schema enforcement using Delta Lake within PySpark ETL workflows. Built scalable data frameworks with PySpark/Scala, transforming large datasets from HDFS and S3 for analytics. Developed end-to-end ETL/ELT on AWS Glue, EMR (Spark), Lambda, and Step Functions with S3 as the lake and Redshift/Athena as query layers. Orchestrated event-driven pipelines with Step Functions + Lambda (S3/Kinesis triggers, DLQs) and implemented idempotency and exponential backoff. Tuned EMR clusters and Spark configurations for big-data workloads. Implemented baseline account security, data quality che

Data Engineer at Centene Corporation

February 1, 2022 - February 1, 2022

Led the design and implementation of hybrid cloud data solutions, integrating on-prem systems with Azure and AWS. Built scalable ELT processes using Azure Data Factory and orchestrated data flows from SQL Server/Oracle into Snowflake. Implemented archival/storage strategies using S3 and Azure Blob Storage, and integrated Delta Lake for ACID-compliant transactions. Created and optimized data pipelines from diverse sources into Hadoop/HDFS for large-scale processing, and developed real-time data pipelines using Apache Kafka to stream data into AWS Redshift and S3. Developed DBT models for standardized analytics, containerized pipelines with Docker/Kubernetes, and automated CI/CD pipelines for reliable software delivery. Implemented data quality checks and dashboards using Power BI.

AWS Data Engineer at ConocoPhillips

July 1, 2019 - July 1, 2019

Implemented scalable, real-time data processing and streaming solutions using Python, Apache Kafka, and Spark Streaming. Built real-time data frameworks to optimize inventory management and order tracking. Leveraged Hadoop ecosystem (HDFS, MapReduce, Hive, HBase) for large-scale data processing and integrated Spark/Scala for fast transformations. Designed and automated ETL workflows with Apache Airflow, optimized SQL queries, and containerized applications with Docker and Kubernetes. Delivered data visualization integrations with Tableau and Power BI, and managed data security using IAM/KMS in a hybrid cloud environment.