Jahnavi D

About Jahnavi D

Demonstrated proficiency in cloud platforms including GCP and Azure, adept at deploying and managing scalable cloudPython, PySpark, and object-oriented programming principles. Proven expertise in building standalone PySpark scripts, implementing complex data transformations based on business logic, and optimizing Spark workloads for performance and reliability. Strong problem-solving skills with extensive experience debugging large-scale data pipelines and delivering robust, production-ready solutions. Experienced across cloud platforms including AWS, Azure, and GCP, with the ability to work independently, communicate effectively with stakeholders, and deliver high-quality data solutions aligned with business objectives.solutions tailored to diverse industry requirements.Managed cloud resources and optimized data processing costs by fine-tuning compute capacities for high-throughput,real-time data workflows.Designed and optimized data storage solutions, including Azure Data Warehouses, BigQuery, and Cloud Storage forscalable and cost-effective storage.Excelled in orchestrating complex data pipelines utilizing Big Data technologies such as Hadoop, Spark, and Kafka,ensuring seamless data flow and integrity.• Automated and managed ETL workflows using Apache Beam, Databricks, and Cloud Composer, reducing manualeffort and improving data pipeline efficiency.• Built event-driven architectures with Google Cloud Functions and Pub/Sub for efficient real-time data ingestion andprocessing.Applied real-time data processing strategies with Google Dataflow and Apache Beam to support time-sensitive analytics.Leveraged PySpark and Databricks to transform, clean, and aggregate data for accurate downstream analysis. Integrated diverse data sources, including relational databases, cloud storage, and healthcare systems, to streamline data workflows and improve data availability.Optimized data querying and reporting in data warehouses using partitioning, clustering, and indexing techniques for improved performance.Implemented data validation and anomaly detection to improve data quality, ensuring reliable data for business intelligence.Integrated machine learning models in BigQuery for predictive analytics, optimizing decision-making and operational efficiency across various domains.Created interactive dashboards in Google Data Studio, Power BI, and Tableau to deliver actionable insights to business stakeholders.Streamlined deployment with CI/CD pipelines in Jenkins and GitLab, ensuring version-controlled and automated deployment of data processing workflows.

Experience

1. Data Engineer

   Impower.ai

   Apr 2025 — Present