Devi Suhitha Chundru

About Devi Suhitha Chundru

Hi there! I’m Devi Suhitha Chundru, a Multi-Cloud Data Engineer with 5+ years designing and deploying scalable data pipelines, lakehouses, and real-time analytics across AWS, Azure, and GCP.I collaborate with Big Data technologies like PySpark, Spark, Databricks, Kafka, Hive, and Hadoop, leveraging dbt for robust data transformation, schema design, and dimensional modeling to deliver clean, consistent datasets. Experienced with cloud-native ETL solutions (AWS Glue, Azure Data Factory, Google Cloud Dataflow) and orchestration platforms like Apache Airflow to build efficient, automated processes that deliver actionable business insights.Skilled across the whole data engineering pipeline from data discovery to batch and streaming ingestion, landing zone and data lake creation (using formats like JSON, Parquet, Avro), metadata management, data quality and governance, and analytics-ready delivery of data warehouses in PostgreSQL, Redshift, BigQuery, Snowflake, and Azure Synapse. I also apply Medallion Architecture best practices for layered data refinement and reliability.Proficient in Python programming with libraries such as NumPy and Pandas, along with advanced SQL techniques including T-SQL and Common Table Expressions (CTEs), enabling agile, scalable data engineering solutions. Experienced in designing and consuming REST APIs to integrate and expose data services. Strong experience with CI/CD automation via Jenkins, Docker, and Kubernetes ensures stable, scalable infrastructure and seamless data delivery.Passionate about integrating Machine Learning, AI models, and Large Language Models (LLMs) into data platforms to drive predictive analytics, intelligent automation, and next-gen data products.Let’s connect to discuss how we can unlock value from data and AI!

Experience

1. Azure Data Engineer

   Ryan Specialty

   Jul 2024 — Present · Chicago, IL, US

Education

• Bradley University

  Master's degree, Data Science and Analytics