Neha Jetty

Detail-oriented and results-driven Data Engineer with a strong foundation in Python, SQL, and end-to-end data pipeline development. Proficient in designing and implementing ETL/ELT workflows, relational database systems, and scalable data processing architectures. Hands-on experience building modular data solutions, applying machine learning for predictive analytics, and delivering actionable business intelligence.

Certified through Deloitte Forage Consulting, with demonstrated ability to bridge raw data sources and business stakeholders through rigorous data modeling, pipeline automation, and analytical reporting. Aligned with industry expectations for production-quality, cloud-ready, and Agile-driven data engineering delivery.

Associate Analyst (Virtual Simulation) at Deloitte Australia — Forage (2024 – 2024)

• Performed large-scale client dataset analysis to uncover operational inefficiencies, producing structured data-driven insights aligned with Deloitte's consulting and analytical reporting standards.
• Applied systematic data analysis frameworks to evaluate complex business scenarios, synthesizing quantitative and qualitative datasets into executive-level stakeholder recommendations.
• Prepared process improvement documentation and concise analytical summaries mirroring real-world Associate Analyst deliverables — demonstrating proficiency in data storytelling and business reporting.
• Demonstrated structured analytical thinking, business process evaluation, and value delivery assessment across simulated data consulting engagements.

B.Tech in Computer Science & Engineering (2022 – 2026)