Results-driven IT professional with over 8.8 years of experience specializing in the development, testing, and support of data warehousing and big data solutions. Demonstrated expertise in Google Cloud Platform (GCP) services, including BigQuery, Cloud Run, and Pub/Sub, with a proven track record of delivering significant cost savings—$6,912 annually across eight GCP projects in 2024 and approximately $55,000 for clients in 2020-2021. Strong background in the banking and finance domain, successfully collaborating with major clients such as PNC Bank and Deutsche Bank. Committed to continuous improvement through automation initiatives and technical training sessions that enhance team capabilities in emerging technologies.
My responsibilities:-
1. Executed data harmonization via SQL, BigQuery, Composer and Pub/Sub by integrating data from various sources into a reusable schema.
2. Jupyter Notebook and analysed code for compliance with data governance rules.
3. Assisted business users in understanding GCP technology and optimizing queries.
4. Created Dataproc workflow templates and executed PySpark jobs in the Dataproc Cluster through GCP Composer DAG.
5. Worked on Cloud Run and Cloud function for the python jobs
Achievements:-
1. With introduction of Fleet manager method in Dataproc Cluster provisioning , my approach has been criucial in enhancing cost efficiency. Strategic Management to substential cost savings $6912 yearly accross 8 projects breaking down to $864 monthly for 8 projects.
2. Completed DB GCP Sprint for Professional Architect asnd earning certification as a GCP Professional Cloud Architect.