Priyadharshini S.

Microsoft Azure & Data Engineering I have extensive experience architecting and delivering production-ready data solutions within the Azure ecosystem and Microsoft Fabric. My background includes the end-to-end development of high-performance Lakehouse architectures, where I’ve utilized Fabric Pipelines and ADF to orchestrate complex data flows. I have a proven track record of provisioning secure infrastructure—from ADLS Gen2 to Azure SQL Databases—and building parameter-driven ingestion frameworks that handle diverse data sources. By integrating Logic Apps and WebHooks, I’ve successfully implemented automated monitoring systems that ensure 24/7 data availability and rapid incident response, providing a seamless flow from raw ingestion to analytics-ready Gold layers. Azure Databricks & Apache Spark I have a deep technical background in solving big data challenges using Azure Databricks and PySpark. I have successfully implemented Medallion Architectures (Bronze, Silver, Gold) to transform raw, unstructured data into optimized Delta tables for advanced analytics. By leveraging Analytical Functions and fine-tuning Spark cluster configurations, I have significantly reduced data processing windows for large-scale datasets. By optimizing cluster configurations and utilizing Analytical Functions, I significantly reduce processing windows and compute costs. I specialize in bridging the gap between raw data lakes and business intelligence, ensuring that data is partitioned, indexed, and optimized for downstream consumption. My focus is always on creating a high-performance "Single Source of Truth" that allows BI tools to pull insights with minimal latency. Informatica Intelligent Cloud Services (IICS) As an IICS Data Integration Specialist, I build high-concurrency ETL/ELT solutions that act as a bridge between diverse enterprise ecosystems. I have extensive experience developing complex mappings to extract high-volume data from Salesforce (SFDC), Oracle, and SQL Server, transforming it for delivery into Azure , AWS environments and Snowflake. My approach focuses on maximizing throughput and ensuring data integrity through advanced transformation logic, reusable mapping tasks, and standardized error-handling frameworks that support global business requirements. Informatica PowerCenter & Legacy Modernization With a deep background in Informatica PowerCenter, I specialize in the full SDLC of enterprise data warehousing, from star-schema design to production deployment. I have a proven track record of optimizing legacy workflows by re-engineering complex mappings and sessions using PL/SQL and Unix Shell Scripting for maximum efficiency. My core strength is modernizing these legacy footprints—moving global organizations from traditional on-premise ETL to agile, cloud-integrated architectures without interrupting business-critical operations. Multi-Cloud Data Engineering I have a proven track record of managing complex data ecosystems across Azure, AWS, and SaaS platforms (Salesforce/IICS). My approach is rooted in DataOps, where I automate the end-to-end orchestration of data pipelines to eliminate manual intervention and reduce human error. I have built resilient systems using configuration-driven triggers, cross-cloud authentication, and Unix scripting to ensure secure, seamless data flow between providers.