Headline

Data Engineer & Analytics Engineer | GCP · Python · SQL | Building Scalable Data Pipelines & BI Systems | ETL Develoer

About

I'm a Data Engineer and Analyst with hands-on experience building data pipelines, analytics systems, and BI infrastructure across cloud and on-premise environments. At Hudl, I worked on GCP-based platforms handling real-time sports event streams and multi-tenant video analytics for 100+ organizations mostly Pub/Sub, BigQuery, Airflow, dbt, GKE, and Terraform. The work involved everything from schema validation and ETL orchestration to tenant-level security, CI/CD automation, and SLA monitoring. At Corizo, I focused more on the analytics and BI side building marketing attribution models in Python, automating reporting workflows that saved 300+ hours annually, and delivering Power BI and Tableau dashboards that actually got used by product and marketing teams. My strongest areas are cloud-native data engineering (GCP), ETL pipeline development, SQL, Python, and translating messy raw data into something decision-makers can act on. I'm currently open to Data Engineer and Analytics Engineer roles where the work involves building reliable data infrastructure at scale. Skills: Python · SQL · GCP · BigQuery · Apache Airflow · dbt · Pub/Sub · GKE · Docker · Terraform · Power BI · Tableau · PostgreSQL · ETL · Data Modeling · CI/CD

Location

Bengaluru

AI stack

claude

codex

deepseek

n8n

openclaw

opencode

Work experience

ETL Developer at Champion InfoMetrics, Jun 2026 - Present · 4 mos, Bengaluru, As an ETL Developer / AI Automation Engineer, I design, develop, and maintain end-to-end data pipelines that automate the extraction, transformation, validation, enrichment, and loading of data from multiple sources. My work involves building AI-powered automation workflows, developing advanced AI agents for complex business processes, integrating REST APIs and webhooks, and creating scalable data engineering solutions. I build intelligent data collection pipelines using web scraping platforms, automate data processing workflows, and integrate cloud databases, spreadsheets, and enterprise applications. I work extensively with SQL for data transformation and optimization, JavaScript for workflow automation, and modern AI technologies to develop reliable, scalable, and production-ready automation systems that improve operational efficiency and reduce manual effort.

Data Analyst at Corizo Edutech Private Limited, Jan 2024 - Feb 2026 · 2 yrs 2 mos, Bengaluru, At Corizo, I worked as a Data Analyst building analytics systems and BI infrastructure mostly Python, SQL, PostgreSQL, Power BI, and Tableau. One of my main projects was a marketing attribution and revenue analytics system. The core problem: figuring out which channels paid search, social, email, affiliate actually drove conversions, and how to allocate budget based on that. I built SQL pipelines in PostgreSQL to pull together CRM data, ad spend records, and conversion logs into a unified customer journey dataset, then handled the messy preprocessing work: deduplication, timestamp normalization, session stitching. From there I built multi-touch attribution models in Python linear, time-decay, and logistic regression to measure each channel's actual contribution. Layered on an A/B testing framework with t-tests, power analysis, and confidence interval reporting so campaign decisions had statistical backing. The outputs went into Power BI dashboards tracking CAC, LTV, ROAS, and cohort metrics. The other big piece was analytics automation. Manual reporting was eating up a lot of time across the team, I automated end-to-end reporting workflows in Python and SQL, cutting over 300 hours of manual work annually and improving turnaround by 20%. Built and maintained KPI dashboards in Power BI and Tableau for business and ops teams, and optimized complex SQL queries for faster, more accurate ad-hoc reporting. Most of the work came down to making data actually usable for people making product and marketing decisions.

Education

Bachelor of Engineering, Information Technology, Saveetha School of Engineering