Aniket Andhale

Data Engineer experienced in building automated data pipelines, ML-integrated workflows, and cloud-native systems using Python, SQL, GCP, and Azure.

At Baker

Hughes, I developed data validation and extraction pipelines that reduced manual processing by 90% and built Power BI license monitoring dashboards that helped reduce operational costs. My work includes ETL pipeline development, data analytics, SQL data migration analysis, and real-time reporting systems. I have built streaming data pipelines using Pub/Sub and Dataflow, trained models on Vertex AI, and integrated ML workflows with Power Automate and PowerApps.

I have experience with BigQuery, Pandas, data modeling, DAX, and cloud data architectures. I enjoy building production-grade data systems that automate workflows and enable data-driven decision making.

Data Analyst Intern at Baker Hughes (2025-02 – 2025-11)

• Developed and optimized Python-Pandas validation scripts for the internal publication system, reducing manual processing by 95% and automating generation of monthly award lists for monetary reward distribution.
• Automated re-branding of 500+ legacy PDFs using Python (image processing, NLP, data scraping), extracted key values, stored results in Excel, and performed data mappings, cleaning, validation & reporting.
• Designed Power BI dashboard by extracting data from log files; added KPIs, DAX measures, and usage trends to enable real-time license monitoring, reducing analysis time by 80% and costs by 20%.
• Trained Data Extraction ML model on Microsoft AI Hub & integrated it into an end-to-end Power Automate flow (ingestion → ML → validation → alerts) connected with Outlook & MS Teams for real-time notifications, used SharePoint for data storage, improving extraction accuracy by 30% and reducing SME review effort.
• Developed a data-management app in Microsoft PowerApps for SME usage, using Dataverse as the backend and implementing a relational data model that made cross-entity lookups smoother for SMEs.
• Partnered with senior analysts and architects to migrate legacy application SQL data to the new environment; wrote analysis queries in SSMS and provided data insights to accelerate the migration.
• Collaborated with product owners & lead analysts to convert high-level designs into technical requirements.
• Resolved email queries; prepared documentation, presentations and POCs for clients to support development.

Tech & Research Intern at NorthStar Impact Solutions (2024-07 – 2024-09)

• Implemented PDF extraction pipeline with Python & NLP; optimized RegEx patterns achieving 95% accurate extraction from complex tables across 10+ diverse financial report formats, enabling automation.
• Structured PostgreSQL schema for storing & retrieving extracted data, significantly reducing manual entry time.
• Documented methodologies, processes and flowcharts; presented findings and analysis results to the team.

Bachelor of Technology in Artificial Intelligence and Data Science – Marathwada Institute of Technology, Aurangabad (2021-12 – 2025-07)