Headline

Data Analyst | Tredence | Business Insights & Customer Analytics | SQL, Snowflake, Tableau, ETL & Data Engineering | Building Scalable Data Solutions & Dashboards, Turning Complex Data into Decisions| 3+ Years Experience

About

I don't just build dashboards — I build the data foundation behind them. I've spent the last 3+ years inside data — and I'm still not tired of the moment when a messy CSV becomes a decision that moves a business. As a Data Analyst at Tredence Analytics, I work at the intersection of engineering and insight. I build the pipelines that bring data together, and the dashboards that make it mean something - worked for clients in CPG, Retail, and Travel & Hospitality. A few things I'm proud of: → Cut dashboard load time by 30% through query optimization and smart data modelling in Snowflake → Eliminated 35% of data discrepancies by redesigning ETL pipelines in Azure Data Factory and Databricks → Built unified CRM push-notification pipelines serving millions of customer records using PySpark My stack: SQL · Snowflake · Databricks · PySpark · Tableau · Power BI · Azure Data Factory · BigQuery · Airflow · Python I hold three certifications: Snowflake SnowPro Core, Databricks Data Engineer Associate, and Microsoft Power BI -not because I collect badges, but because I like knowing the tools deeply. What I'm looking for next: A Senior Data Analyst or Analytics Consultant role where I can own end-to-end analytics — from raw data to board-level insight. I thrive in ambiguous, fast-moving environments where the question changes before the answer is ready. If you're building a data practice in CPG, Retail, or Travel - or if you want someone who can translate data engineering into business value - let's talk. 📩 Reach me at: aftab1400@gmail.com | Open to: Bengaluru, hybrid, and remote opportunities

Location

Bengaluru

AI stack

claude

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ChatGPT

Work experience

Business Analyst at Tredence Inc., Mar 2023 - Present · 3 yrs 7 mos, Bengaluru, Karnataka, India, - Redesigned ETL pipelines in Azure Data Factory and Databricks, eliminating 35% of data discrepancies across CPG client datasets and reducing downstream reporting errors for a team of 12 stakeholders. - Optimized Snowflake data models and Tableau dashboard queries, cutting average load time by 30% and enabling daily self-serve reporting for non-technical business users. - Built unified CRM push-notification opt-in tables in PySpark under a structured schema, consolidating 5+ fragmented data sources into a single source of truth for customer segmentation. - Developed customer analytics solutions across CPG, Retail, and Travel & Hospitality verticals — translating raw transactional data into loyalty, churn, and campaign performance insights for senior client stakeholders. - Automated data ingestion workflows using Apache Airflow and BigQuery, reducing manual data prep time by ~40% and freeing analyst bandwidth for insight generation.

ML Intern at Nano robotics Embed Technologies, Sep 2021 - Oct 2021 · 2 mos, Bengaluru, Karnataka, India, Hands on development and troubleshooting with Machine Learning algorithms. Exploring various libraries in python and learning functions in python. Data collection and data analysis using NumPy, Pandas, Matplotlib.

Education

Data Analytics, Great learning

Bachelor of Engineering - BE, Electronics and Communication Engineering, KNS Institute Of Technology