Divyanshu Wakodikar

I am a Data Analyst and Data Engineering professional with hands-on experience in designing data pipelines, building reporting solutions, and working with cloud-based analytics platforms. I have worked at Accenture as a Data Engineering, Management and Governance Associate, where I contributed to workflow optimization, ETL pipeline development, data validation, and reporting automation projects using GCP technologies such as BigQuery, Cloud Composer, Pub/Sub, Dataflow, and Cloud Run. I also worked on improving orchestration processes, implementing governance and security best practices, and integrating data from multiple sources to support business reporting and analytics.

During my internship at Accenture as a Packaged Application Developer Associate Intern, I gained experience with cloud data processing, workflow orchestration, metadata governance, and data quality validation. I also used Generative AI tools to support metadata validation and test case creation in simulated project environments. In addition, I have experience in AI code evaluation, reviewing and validating AI-generated code outputs for quality, logic, and accuracy.

I am skilled in Python, SQL, Power BI, JavaScript, React.js, Node.js, and data analytics libraries such as pandas, NumPy, and Matplotlib. I enjoy working on data-driven problem solving, automation, dashboard development, and analytics projects that help organizations make informed business decisions.

I have also worked on projects such as a cloud-based YouTube Trend Analysis platform using GCP, BigQuery, Cloud Run, and Power BI, as well as Spotify data analytics dashboards focused on KPI reporting and trend analysis. These projects strengthened my expertise in end-to-end data engineering, visualization, and business analytics.

I completed my B.Tech in Computer Science and Engineering (Data Science) from Shri Ramdeobaba College Of Engineering And Management, where I developed a strong foundation in data science, analytics, and software development.