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Haswanth Challagulla

@haswanthchallagulla

Message

I build data pipelines, dashboards, and AI-powered analytics that improve business decisions.

United States

Message

What I'm looking for

I'm looking to build scalable analytics pipelines, executive dashboards, and AI-powered automation that improve operational performance and business decision-making.

At Fidelity Investments, I engineer SQL data pipelines processing more than 2 million daily transactions and build Power BI dashboards that accelerate data-driven decisions by 40%.

I've delivered reporting and analytics solutions at American Express and Tiger Analytics, automating Snowflake, Redshift, dbt, and Apache Airflow workflows to reduce manual processing, improve data quality, and make marketing, sales, and operational reporting faster.

I use SQL, Python, machine learning, and AI tools including OpenAI APIs, Claude, and ChatGPT to investigate risks, automate reporting, and turn complex data into actionable insights.

Experience

Work history, roles, and key accomplishments

Current

Senior Data Analyst

Current

Fidelity Investments

Jan 2025 - Present (1 year 7 months)

Engineered SQL-based data pipelines to extract and transform over 2 million daily transactions, improving data reliability. Designed interactive Power BI dashboards with advanced DAX and drill-through features, accelerating data-driven decisions by 40%.

SQL Power BI DAX Python Machine Learning Workflow Automation

Data Analyst (Reporting & Analytics)

American Express

Apr 2022 - Jul 2023 (1 year 3 months)

Designed interactive Tableau dashboards with calculated fields and drill-through functionality, increasing reporting efficiency by 35%. Built Apache Airflow and dbt workflows integrating Snowflake and Redshift data to automate analytics pipelines, reducing manual processing by 45%.

Tableau SQL PostgreSQL Redshift Python Airflow DBT Snowflake Data Validation Root Cause Analysis

Data Analyst

Tiger Analytics

Jan 2021 - Mar 2022 (1 year 2 months)

Developed interactive Power BI dashboards using DAX, drill-through filters, and calculated fields, enabling stakeholders to analyze marketing and sales performance 50% faster. Built automated Snowflake and Redshift data pipelines combining SQL, Python scripts, and dbt to clean and transform datasets, increasing processing efficiency by 35%.