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Hi, I’m Richa Reddy Dasari, a results-driven BI Developer with 4+ years of experience building scalable SQL pipelines, data models, and executive dashboards for retail, finance, and enterprise operations. I leverage SQL, Python, and cloud warehouses like Snowflake, Redshift, and BigQuery to turn complex data into reliable, decision-ready insights. I enjoy collaborating with cross-functional teams to automate workflows, ensure data quality, and accelerate strategic decision-making. I’m passionate about turning data into action. I design KPI governance, perform trend and variance analyses, and deliver dashboards that stakeholders trust and adopt, helping organizations improve performance and achieve measurable outcomes.…Hi, I’m Richa Reddy Dasari, a results-driven BI Developer with 4+ years of experience building scalable SQL pipelines, data models, and executive dashboards for retail, finance, and enterprise operations. I leverage SQL, Python, and cloud warehouses like Snowflake, Redshift, and BigQuery to turn complex data into reliable, decision-ready insights. I enjoy collaborating with cross-functional teams to automate workflows, ensure data quality, and accelerate strategic decision-making. I’m passionate about turning data into action. I design KPI governance, perform trend and variance analyses, and deliver dashboards that stakeholders trust and adopt, helping organizations improve performance and achieve measurable outcomes.

Richa Reddy Dasari

Data Analyst, Data Scientist, Full Stack Developer, +4

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Hi, I’m Richa Reddy Dasari, a results-driven BI Developer with 4+ years of experience building scalable SQL pipelines, data models, and executive dashboards for retail, finance, and enterprise operations. I leverage SQL, Python, and cloud warehouses like Snowflake, Redshift, and BigQuery to turn complex data into reliable, decision-ready insights. I enjoy collaborating with cross-functional teams to automate workflows, ensure data quality, and accelerate strategic decision-making. I’m passionate about turning data into action. I design KPI governance, perform trend and variance analyses, and deliver dashboards that stakeholders trust and adopt, helping organizations improve performance and achieve measurable outcomes.…Hi, I’m Richa Reddy Dasari, a results-driven BI Developer with 4+ years of experience building scalable SQL pipelines, data models, and executive dashboards for retail, finance, and enterprise operations. I leverage SQL, Python, and cloud warehouses like Snowflake, Redshift, and BigQuery to turn complex data into reliable, decision-ready insights. I enjoy collaborating with cross-functional teams to automate workflows, ensure data quality, and accelerate strategic decision-making. I’m passionate about turning data into action. I design KPI governance, perform trend and variance analyses, and deliver dashboards that stakeholders trust and adopt, helping organizations improve performance and achieve measurable outcomes.

Available to hire

Hi, I’m Richa Reddy Dasari, a results-driven BI Developer with 4+ years of experience building scalable SQL pipelines, data models, and executive dashboards for retail, finance, and enterprise operations. I leverage SQL, Python, and cloud warehouses like Snowflake, Redshift, and BigQuery to turn complex data into reliable, decision-ready insights. I enjoy collaborating with cross-functional teams to automate workflows, ensure data quality, and accelerate strategic decision-making.

I’m passionate about turning data into action. I design KPI governance, perform trend and variance analyses, and deliver dashboards that stakeholders trust and adopt, helping organizations improve performance and achieve measurable outcomes.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Language

English

Fluent

Work Experience

BI Developer at Deloitte

August 1, 2024 - Present

Built high-performance analytical datasets using Advanced SQL (CTEs, Window Functions, Complex Joins, Aggregations) to support client reporting on Order Volume, Fulfillment Performance, and Operational KPIs, reducing query runtimes and decision latency. Designed and governed Tableau-first dashboards (with Power BI support) using Calculated Fields, LOD Expressions, and Drill-downs to track Conversion Trends, Fulfillment SLAs, and Business Performance, increasing stakeholder adoption by 25%. Automated Data Preparation and Metric Validation using Python (Pandas, NumPy) and Excel (Pivot Tables, INDEX-MATCH), eliminating manual reconciliation and saving 10+ hours per week. Developed scalable Dimensional Data Models using Fact & Dimension Tables, Star Schema, and Slowly Changing Dimensions (SCDs) in Snowflake, Redshift, and BigQuery, ensuring consistent metric definitions. Implemented ETL/ELT Pipelines with Incremental Loads, Data Quality Checks, and Cost-Aware Refresh Strategies, delivering

BI Developer at Walmart Global Tech

August 1, 2022 - July 1, 2023

Built and optimized high-performance SQL analytics pipelines (CTEs, window functions, complex joins, aggregations) integrating multi-source retail and operational data, reducing reporting latency by 30% and improving decision timeliness. Designed and delivered executive-ready Power BI and Tableau dashboards using DAX, calculated fields, parameters, and drill-downs to track core business KPIs, enabling faster risk identification and opportunity discovery. Automated data preparation, validation, and reconciliation using Python (Pandas, NumPy) and advanced Excel, eliminating manual errors and saving 10–12 hours per week while improving trust in enterprise reporting. Engineered scalable dimensional data models and Snowflake ETL/ELT pipelines (fact/dimension tables, star schema, SCDs, incremental loads, data quality checks) to deliver reliable, near real-time analytics at scale.

Data Analyst at HCLTech

January 1, 2021 - July 1, 2022

Analyzed high-volume financial and transactional datasets using SQL and Python (Pandas, NumPy) to identify trends in customer behavior, portfolio health, and risk exposure, improving forecasting accuracy by 18%. Built and automated Power BI dashboards to monitor loan performance, delinquency rates, customer profitability, and fraud indicators, reducing manual reporting effort by 35%. Applied statistical analysis and anomaly detection techniques to identify fraud patterns and risk outliers, enabling risk teams to flag high-risk accounts earlier and reducing false negatives by 12%. Implemented data validation rules and quality checks across financial reporting workflows, increasing data accuracy by 40% and strengthening regulatory and compliance readiness.