DATA ENGINEERING
Building, modernizing and automating enterprise data pipelines with a focus on reliability, scalability and maintainability.
AI & DATA ENGINEER │ MBA — PROJECT MANAGEMENT
I build and modernize enterprise data solutions while exploring the space where technology, business and project delivery meet.
My journey into technology started with Computer Science, but over time, I realised that what I enjoy most isn't simply writing code — it's solving the problem behind it.
Today, I work as an AI & Data Engineer at Deloitte USI, where I work with data, cloud platforms and enterprise systems. I've had the opportunity to work on everything from modernising data pipelines to automating repetitive processes and figuring out why something isn't working when it really should be.
Along the way, I started becoming increasingly interested in what happens beyond the technical solution — why are we building this, what does the business actually need, and how can we make the process better?
That curiosity is one of the reasons I chose to pursue an MBA in Project Management alongside my technical career.
Building, modernizing and automating enterprise data pipelines with a focus on reliability, scalability and maintainability.
Working across cloud-based data environments and designing solutions that support enterprise ingestion and warehousing.
Exploring the problem behind the solution through requirements, impact analysis, business analysis, product thinking and technical POCs.
Working closely with clients and teams through Jira, ServiceNow, email, Agile delivery, documentation and knowledge transfer.
My technical foundation is complemented by a growing interest in product thinking, business analysis and project delivery. Choose the version that best matches the opportunity you're exploring.
Cloud data platforms, engineering, automation, SQL, Python and enterprise data workflows.
Download resume → FUNCTIONAL + TECHNICALRequirements, analysis, Agile delivery, stakeholder collaboration, product thinking and project management.
Download resume →AI & Data Engineer
February 2023 — Present
Working on enterprise data solutions, cloud data ingestion and automation, with a focus on scalable, reliable and business-aligned delivery.
Led a legacy Cloud Data Fusion → Dataform migration, established version-controlled SQL workflows and improved pipeline performance and maintainability.
Worked on healthcare data workflows using AWS and Python, automated monitoring and validation, and created Power BI dashboards for operational visibility.
Modernizing legacy data pipelines through migration to Dataform, improving execution performance and reducing maintenance overhead.
Automating monitoring and validation workflows while improving operational visibility through stakeholder dashboards.
Working with functional stakeholders to implement business logic for financial reconciliation reporting and audit-ready data.
Exploring practical differences between Agile and traditional project delivery approaches through research and analysis.
A self-initiated interface concept focused on turning operational data into a clearer, more decision-friendly experience. This is a design exploration rather than client work.
Professional client work is presented at a high level to respect confidentiality.
D.Y. Patil College, Pune
Expected completion: November 2026Indira College of Commerce and Science, Pune
The things I make, the things I explore, and the people I learn with are a big part of who I am outside the job title.







MBA completion is expected in November 2026. The graduation milestone will be added here when it arrives.
09 / LET’S CONNECT
I'm interested in opportunities where technology, data and business come together — and where I can keep learning while creating something meaningful.
Let’s Connect →