Priyanka Prabakarrao
Gcp Data Engineering and Reporting Specialist @Park Place Behavioral Health Care
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WORK HISTORY
Gcp Data Engineering and Reporting Specialist @Park Place Behavioral Health Care
Orlando, FL, US
Migrated healthcare claims and member data pipelines from legacy SQL-based systems to Google Cloud Platform (GCP) using BigQuery, GCS, and Cloud Composer. Designed cloud-native batch ingestion workflows to extract data from SQL Server, REST APIs, and flat files into Cloud Storage staging layers before transformation into curated BigQuery datasets. Developed and scheduled Airflow DAGs in Cloud Composer to orchestrate multi-stage ETL pipelines including ingestion, validation, transformation, and reporting layer loading. Implemented partitioned and clustered BigQuery tables to optimize performance for high-volume healthcare claims datasets. Designed incremental ELT workflows in BigQuery using timestamp-based filtering and merge strategies to ensure efficient daily processing. Built multi-layer warehouse architecture (Raw → Cleansed → Business → Analytics) to support cost reporting, compliance, and KPI dashboards. Implemented data validation frameworks including null checks, schema enforcement, and anomaly detection before loading into curated datasets. Created BigQuery authorized views and implemented IAM-based row-level security for HIPAA-compliant data access across finance and clinical teams. Optimized complex SQL transformations including joins across large claims datasets, improving query efficiency and reducing compute cost. Monitored pipeline performance, job failures, and ingestion latency using GCP Logging and Monitoring tools. Collaborated with analytics and finance teams to translate reporting requirements into scalable BigQuery-based models.
EDUCATION
Katalyst India
Women in STEM
BNM Institute Of Technology
Bachelor of Engineering - BE, Electronics and Communication Engineering
University of South Florida
Master's degree, AI and Business Analytics
ABOUT PRIYANKA PRABAKARRAO
Hello, I\'m Priyanka Prabakarrao, a dedicated professional with a strong focus on applying data-driven insights to solve complex problems in technology and business. With a Master of Science in Artificial Intelligence and Business Analytics from the University of South Florida, I offer a well-rounded skill set and a commitment to delivering impactful results in all my projects.As an enthusiastic Data Engineer with 5+ years of experience building scalable cloud-native data platforms across Healthcare, Life Sciences, and Financial domains. Strong expertise in ETL/ELT development, Big Data ecosystems, and distributed processing using Python, PySpark, Scala, SQL, and Apache Spark (Spark SQL, Spark Streaming).Extensive hands-on experience with Google Cloud Platform (BigQuery, Dataflow, Dataproc, Pub/Sub, Cloud Storage, Cloud Composer, Data Fusion, Dataplex, Data Catalog, Vertex Al, Bigtable, Spanner, IAM, DLP, CMEK), designing real-time and batch pipelines for HL7, FHIR, OMOP, claims, genomics, and clinical datasets.Implemented bronze-silver-gold architectures, partitioned and clustered BigQuery tables, row-level security, dynamic masking, and HIPAA-compliant governance frameworks.Experienced in Databricks Lakehouse and Delta Lake architectures, optimizing Spark workloads with partition pruning, broadcast joins, schema evolution, and performance tuning techniques. Strong background in Snowflake (micro-partitions, Streams & Tasks), dbt (incremental models, snapshots, testing), and dimensional modeling (Star/Snowflake, CDC, SCD).Skilled in AWS (S3, Glue, EMR, Redshift, Athena, Kinesis, Lambda) and Azure (HDInsight, Data Factory, Stream Analytics), with CI/CD automation using Terraform, Cloud Build, Jenkins, Docker, and Kubernetes (GKE/EKS/AKS).Looking forward to connecting with amazing people, discovering new opportunities, and working on exciting projects. Let’s make work fun and impactful!
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