As a Data Engineer at Ascendion, I am an integral part of the team responsible for migrating and optimizing big data infrastructure from on-premises Hadoop servers to Google Cloud Platform for a major Healthcare Client. This project follows the successful migration of our data, focusing on transitioning and enhancing our data processing, transformation, and analytics code to leverage the power and scalability of GCP.

- Spearheaded data ingestion processes within a prominent financial institution, harnessing the power of Python, SQL, and PySpark.- Innovated the creation of a comprehensive framework for meticulously assessing ingested data against predefined KPIs and rules.- Leveraged Google Cloud Platform services (BigQuery, Dataflow, PubSub) to optimize data processing workflows, bolstering operational efficiency.- Led efforts to ensure stringent data quality standards, resulting in data accuracy and reliability that underpinned data-driven decision-making.

- Proficiently conducted in-depth analyses on extensive datasets in both structured and unstructured formats.- Unearthed valuable insights from data and generated customized reports to meet client needs, elevating the quality of decision-making.- Expertly crafted and presented data reports in the preferred database formats specified by clients.- Collaborated seamlessly within Agile methodologies, ensuring efficient data processing and timely delivery, ultimately enhancing data accessibility for clients.