Manisha Gangundi
Sr Data Engineer @Health Net
Signup · Get unlimited contacts
WORK HISTORY
Sr Data Engineer @Health Net
Woodland Hills, CA, US
At Health Net, I led the end-to-end design and implementation of real-time and batch data pipelines using Apache Spark, Flink, and Beam, supporting scalable analytics across GCP and AWS. I migrated legacy systems from Teradata to BigQuery, and built automated data validation workflows using Cloud Composer to ensure accuracy post-migration.I developed ML pipelines using Vertex AI and deployed Spark MLlib models for anomaly detection and predictive insights. My work included building and optimizing ETL pipelines across Databricks, Snowflake, Hive, and HBase, and integrating Kafka streaming data for low-latency processing.I also architected and maintained HIPAA-compliant data ingestion and processing workflows for healthcare data using tools like Dataflow, Pub/Sub, and Cloud Storage, and enabled data lake solutions across GCP and AWS.Additionally, I automated infrastructure provisioning with Terraform and CI/CD (Jenkins, GitLab CI), and created serverless data orchestration using AWS Step Functions, Lambda, and Glue—enhancing operational reliability and cost efficiency across environments.
ABOUT MANISHA GANGUNDI
I’m a Senior Data Engineer with over 11 years of experience delivering data-driven solutions across industries like healthcare, finance, and retail. My expertise lies in building scalable, high-performance data pipelines using Big Data technologies and modern cloud platforms such as GCP, AWS, and Azure.I specialize in:1. Big Data Analytics using tools like Apache Spark, PySpark, Flink, Hive, and Kafka.2. Designing and optimizing ETL/ELT pipelines using Databricks, AWS Glue, ADF, and Informatica.3. Developing solutions in Python and Scala for data transformation, ML model deployment, and automation.4. Working with data lakes, warehouses, and real-time streaming systems on platforms like BigQuery, Snowflake, Redshift, and Dataflow.5. Implementing CI/CD, infrastructure-as-code (Terraform), and managing secure, HIPAA-compliant data workflows-> I’m passionate about solving complex data challenges—from migrating legacy systems to cloud-based architecture, to deploying machine learning models for actionable insights-> Whether it’s batch processing or real-time analytics, I focus on building reliable, efficient systems that drive business impact and scale with demand.Let’s connect if you’re looking to collaborate on cloud modernization, big data architecture, or AI-driven data solutions.
This profile is compiled from publicly available professional sources. Unifers is not affiliated with or endorsed by LinkedIn. Request removal of this profile.