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Hello! I’m Manivardhan Reddy, a results-driven data professional with 4 years of experience building scalable data pipelines, ETL workflows, and analytics dashboards across finance, healthcare, and technology domains. I’m proficient in Python, SQL, Airflow, and Snowflake, and I excel at automating reporting processes, improving data accuracy to 99%, and empowering strategic decision-making with Tableau and Power BI. I’ve delivered predictive modeling, optimized large-scale datasets, and collaborated with data engineers to improve query performance and data governance in cloud environments (AWS, Azure, GCP). I thrive in cross-functional settings and enjoy turning complex data into clear, actionable insights for leadership and operations teams.…Hello! I’m Manivardhan Reddy, a results-driven data professional with 4 years of experience building scalable data pipelines, ETL workflows, and analytics dashboards across finance, healthcare, and technology domains. I’m proficient in Python, SQL, Airflow, and Snowflake, and I excel at automating reporting processes, improving data accuracy to 99%, and empowering strategic decision-making with Tableau and Power BI. I’ve delivered predictive modeling, optimized large-scale datasets, and collaborated with data engineers to improve query performance and data governance in cloud environments (AWS, Azure, GCP). I thrive in cross-functional settings and enjoy turning complex data into clear, actionable insights for leadership and operations teams.

Manivardhan Reddy

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Hello! I’m Manivardhan Reddy, a results-driven data professional with 4 years of experience building scalable data pipelines, ETL workflows, and analytics dashboards across finance, healthcare, and technology domains. I’m proficient in Python, SQL, Airflow, and Snowflake, and I excel at automating reporting processes, improving data accuracy to 99%, and empowering strategic decision-making with Tableau and Power BI. I’ve delivered predictive modeling, optimized large-scale datasets, and collaborated with data engineers to improve query performance and data governance in cloud environments (AWS, Azure, GCP). I thrive in cross-functional settings and enjoy turning complex data into clear, actionable insights for leadership and operations teams.…Hello! I’m Manivardhan Reddy, a results-driven data professional with 4 years of experience building scalable data pipelines, ETL workflows, and analytics dashboards across finance, healthcare, and technology domains. I’m proficient in Python, SQL, Airflow, and Snowflake, and I excel at automating reporting processes, improving data accuracy to 99%, and empowering strategic decision-making with Tableau and Power BI. I’ve delivered predictive modeling, optimized large-scale datasets, and collaborated with data engineers to improve query performance and data governance in cloud environments (AWS, Azure, GCP). I thrive in cross-functional settings and enjoy turning complex data into clear, actionable insights for leadership and operations teams.

Available to hire

Hello! I’m Manivardhan Reddy, a results-driven data professional with 4 years of experience building scalable data pipelines, ETL workflows, and analytics dashboards across finance, healthcare, and technology domains. I’m proficient in Python, SQL, Airflow, and Snowflake, and I excel at automating reporting processes, improving data accuracy to 99%, and empowering strategic decision-making with Tableau and Power BI.

I’ve delivered predictive modeling, optimized large-scale datasets, and collaborated with data engineers to improve query performance and data governance in cloud environments (AWS, Azure, GCP). I thrive in cross-functional settings and enjoy turning complex data into clear, actionable insights for leadership and operations teams.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Language

English

Fluent

Work Experience

Data Analyst at Juniper Networks

February 1, 2025 - November 5, 2025

Streamlined SQL pipelines and Tableau dashboards, reducing reporting cycles by 35% and enabling finance and sales teams to access insights faster. Conducted predictive analysis on customer support tickets using Python (Pandas, NumPy, Scikit-Learn), contributing to a 20% improvement in ticket resolution speed. Implemented data quality validation frameworks with Apache Airflow and Python, sustaining 99% accuracy for daily ETL loads. Created automated Excel and Power Query templates for monthly financial reporting, accelerating data preparation time by 30% across recurring reports. Designed interactive dashboards tracking operational and financial metrics, integrating data from SQL Server, Oracle, and cloud databases for cross-functional reporting. Collaborated with data engineers to optimize Snowflake queries, lowering average query runtime for datasets exceeding 2.5 million records.

Data Engineer at Datamatics

November 1, 2022 - November 1, 2022

Designed ETL workflows using Apache Airflow and AWS Glue, processing approximately 10M daily records within healthcare and financial datasets with accuracy. Created data models and star schemas for analytics on credit risk, claims, and customer churn, contributing to a 35% acceleration in query runtime for large datasets. Developed real-time streaming pipelines with Apache Kafka and Spark, handling 1.5M+ transactions per hour with sub-second processing latency and data consistency. Executed AWS data migration from SQL Server to Snowflake, optimized ETL pipelines with Airflow and Glue, and processed streaming data using Kafka and Spark. Managed version control and deployment of data pipelines using Git and Jenkins, supporting 10+ production updates per month without service disruption. Constructed data validation scripts in Python, leading to a 22% decrease in SLA breaches and maintaining compliance with internal data governance policies.

Data Analyst – Associate at 3i Infotech

June 1, 2021 - June 1, 2021

Formulated Power BI and Tableau dashboards for financial and operations teams, enhancing management visibility into revenue, expenses, and KPIs across 5+ departments. Crafted and optimized SQL queries for ad-hoc reporting, shortening manual reporting time by 42% across reports for finance and operations teams. Conducted cohort analysis on customer records using Python, identifying retention trends and achieving a 27% increase in actionable insights for marketing campaigns. Executed data pipelines using Apache Airflow, processing daily records for transactional and operational datasets with a 99% successful job completion rate. Engineered Excel-based automated templates with Power Query, reducing the monthly reporting cycle duration and enabling recurring reports.