Headline

Data Analyst at Mahiti Infotech

About

I'm a SQL & BI Developer at Mahiti (Bengaluru), building the data layer that helps product, marketing, and operations teams make faster, more confident decisions. My work spans the full BI stack — writing complex SQL on PostgreSQL, designing ETL pipelines in Python, and delivering production dashboards in Apache Superset, Power BI, and Looker Studio. I design DAX measures and KPI frameworks that turn messy raw data into clear, actionable business signals. I also work closely with the Django engineering team to embed dashboards directly into the product and implement row-level security (RLS) for role-based data access. Beyond the data work, I use Cursor AI to accelerate development — from writing SQL faster to iterating on Python scripts — and I communicate regularly with stakeholders to translate business questions into dashboard specs. 🛠 Stack: SQL · PostgreSQL · Python · Apache Superset · Power BI · DAX · Looker Studio · Excel · Django · Cursor AI 📊 Focus: BI Dashboards · ETL Pipelines · KPI Design · RLS · Data Modeling · Stakeholder Reporting 🏅 Certified: Microsoft Power BI Data Analyst Associate (PL-300) Always open to connecting with data, BI, and analytics professionals.

Location

Bengaluru

Work experience

Data Analyst at Mahiti Infotech, Apr 2026 - Present · 4 mos, Bengaluru, Karnataka, India

Junior Data Analyst at Socialbytes, Oct 2024 - Mar 2026 · 1 yr 6 mos, Bengaluru, Karnataka, India, SQL & Data Engineering ▸ Wrote and optimized complex SQL queries on PostgreSQL — multi-table JOINs, window functions, CTEs — to extract, clean, and model raw data into analysis-ready datasets for cross-functional reporting. ▸ Built and maintained Python-based ETL pipelines to automate data ingestion and transformation, reducing manual data prep effort across weekly and monthly reporting cycles. ▸ Designed data models and KPI logic to establish a single source of truth for product, marketing, and operations metrics — ensuring consistency across all dashboards and reports. BI & Dashboard Development ▸ Built production dashboards in Apache Superset and Power BI with dynamic filters and drill-downs, enabling business teams to self-serve their data needs and cut report turnaround time. ▸ Developed DAX measures and calculated columns in Power BI for custom KPIs and time-intelligence metrics including MoM growth, YoY comparisons, and rolling averages for executive reporting. ▸ Implemented row-level security (RLS) in Apache Superset to enforce role-based data access across multi-team environments, ensuring governance, compliance, and data privacy. Application Integration & Dev Workflow ▸ Embedded Superset dashboards into a Django web application, collaborating with the engineering team to deliver in-product analytics directly to end users. ▸ Leveraged Cursor AI to accelerate SQL query writing, Python ETL scripting, and dashboard iteration — improving development speed and reducing debugging cycles. Stakeholder Communication ▸ Worked directly with product managers and business leads to translate reporting requirements into dashboard specs — running walkthroughs, gathering feedback, and iterating until delivery. ▸ Maintained documentation for KPI definitions, data sources, and dashboard logic to enable consistent reporting and smooth knowledge transfer across teams.

Developer Intern at Socialbytes, Aug 2024 - Sep 2024 · 2 mos, ▸Mapped data flows between internal systems and identified reporting gaps, building familiarity with the company's end-to-end data infrastructure. ▸Contributed to foundational dashboard work in Power BI and helped document KPI definitions and report logic for the analytics team. ▸Strengthened practical skills in SQL, Python, and Django through real-world backend and data tasks in a production environment.

Python Developer Intern at BridgeLabz, Jun 2024 - Jul 2024 · 2 mos, Bengaluru, Karnataka, India, ▸Practised Python fundamentals, algorithmic problem-solving, and interview-ready coding patterns through structured hands-on tasks — strengthening the programming base for data engineering work.

Python Fullstack & Data Analytics Trainee at Palle Technologies, Jan 2024 - May 2024 · 5 mos, Bengaluru, Karnataka, India, ▸Completed an intensive 6-month programme covering Python, Django, SQL, REST APIs, and full-stack development — building the engineering foundation that now underpins my data and BI work. ▸Built practice projects involving backend logic, database design, and API integration, developing a strong understanding of how data moves through application layers.

Education

Bachelor of Technology - BTech, Computer Science, Sri Venkateswara College of Engineering and Technology, Chittoor