Data Analyst Business

DAVID SUHRUTH REDDY

DATA ANALYST

*************@*****.*** 551-***-****

Professional Summary

4+ years of hands-on experience as a Data Analyst and Business Analyst, driving data-centric solutions across healthcare, networking, and enterprise domains.

Proficient in translating complex business requirements into actionable insights using advanced data analytics and visualization tools.

Experienced in migrating legacy systems into Google Cloud Platform (GCP).

Design and Build GCP data driven solutions for enterprise data warehouse and data lakes.

Specialized in building robust ETL pipelines using Python, SnowSQL, and cloud-native tools for seamless data integration and transformation.

Expertise in SQL (joins, unions, sub-queries) and Teradata for data analysis and reporting.

Utilized Azure for cloud-based deployment and data processing, enhancing system scalability and performance.

Advanced knowledge of data modeling, data warehousing, and performance tuning using Snowflake, PostgreSQL, and SQL Server.

Experience in Operational Data Store (ODS), Business Intelligence, Data Modeling, Data Warehousing Concepts,OLAP, ETL tools and Analytics.

Experienced with different Relational databases like Teradata, Oracle and SQL Server.

Created and maintained interactive dashboards in Power BI and Tableau, enhancing visibility into key business metrics.

Utilized PySpark, SparkSQL, and Databricks for large-scale data processing and real-time analytics.

Expertise in writing SQL Queries, Dynamic-Queries and Complex Joins for generating Complex Stored Procedures, User-defined Functions, Views, Cursors and Triggers.

Integrated data from both structured and unstructured sources, including relational and NoSQL databases like MongoDB.

Worked with relational and NoSQL databases including PostgreSQL, SQL Server, and MongoDB to manage diverse datasets.

Improved data quality and compliance in healthcare data management by leveraging Snowflake’s zero-copy cloning and virtual warehouses.

Implemented cross-platform analytical solutions, ensuring scalability, security, and reliability of data workflows.

Collaborated with cross-functional teams including engineering, product, and business stakeholders to deliver impactful solutions.

Collaborated with cross-functional teams to define and track key performance indicators (KPIs) to enhance performance.

Led end-to-end analytics projects, from requirement gathering and data modeling to visualization and presentation.

Conducted data-driven analysis, leveraged statistical techniques & predictive analysis for improving business metrics.

Technical Skills

Programming & Scripting: Python, SQL, PySpark, SparkSQL

Data Modeling Tools: Power Designer, Erwin, ER/Studio, MS Visio, Toad, MySQL Workbench

BI Tools: Microsoft SQL Server, Oracle, PostgreSQL, MySQL, DB2, Teradata, Snowflake, Greenplum, Netezza, Google BigQuery, Sybase, Hadoop, Impala

Database Tools: Oracle SQL Developer, TOAD, Teradata SQL Assistant

Databases & Data Warehouses: Microsoft SQL Server, Oracle, PostgreSQL, MySQL, DB2, Teradata, Snowflake, Greenplum, Netezza, Google BigQuery, Sybase, Hadoop, Impala

Certifications

Fundamental Analysis Module (NCFM)

Commodity Markets Module (NCFM)

Equity & Derivatives - Simulated Virtual Investment

Bank of America Investment Banking virtual experience program

Goldman Sachs Operations Job Simulation

Google Cloud Professional Data Engineer

Professional Experience

Coworx September 2024–Present

Data Analyst

Leading analytical initiatives focused on scalable data processing, data visualization, and actionable insights generation.

Developed real-time analytics pipelines using PySpark, SparkSQL, and Databricks, optimizing decision-making and reducing data processing time by 40%.

Automated data ingestion workflows and implemented validation rules to ensure high data accuracy and integrity.

Developed and maintained ETL pipelines to support data warehousing and advanced analytics, improving data retrieval speed by 30%.

Integrated data from structured and unstructured sources using PostgreSQL, SQL Server, and MongoDB, enabling a unified and consistent data view.

Designed and deployed interactive dashboards in Power BI and Tableau to track KPIs across multiple business units.

Created custom visualizations and implemented role-based access control for secure and targeted data sharing.

Led end-to-end data projects, from requirement gathering and data modeling to pipeline development and stakeholder presentations.

Collaborated with cross-functional teams including engineering, product, marketing, and operations to align analytics with business goals.

Conducted in-depth data analysis and generated ad-hoc reports to support decision-making in marketing, finance, and operations.

Conducted A/B testing and statistical analysis to evaluate product features and marketing strategies, providing data-backed recommendations.

Delivered insights that supported budget optimization, customer segmentation, and campaign performance improvement.

Performed root cause analysis to identify operational inefficiencies and recommend process improvements.

Implemented best practices in data governance, version control, and workflow automation to improve team efficiency and maintain project transparency.

Genesis System November 2020 – December 2023

Data Analyst

Focused on developing ETL pipelines and delivering actionable business insights for enterprise clients across healthcare and networking domains.

Built and maintained robust ETL pipelines using Python, SnowSQL, and cloud-native tools, integrating data from diverse sources into centralized warehouses.

Leveraged Snowflake for data transformation and virtual warehousing, utilizing features like zero-copy cloning and virtual warehouses to enhance data accessibility and scalability.

Utilized Azure for deploying cloud-based solutions, improving performance, reducing latency, and enabling auto-scaling for high-volume data processing tasks.

Integrated third-party APIs to enrich datasets and support customer segmentation and behavioral analytics.

Designed and optimized complex SQL queries, stored procedures, views, and user-defined functions using tools like Teradata SQL Assistant, Oracle SQL Developer, and TOAD.

Developed data pipelines and transformation logic using Power Designer, Erwin, and MySQL Workbench for data modeling and architecture planning.

Worked with relational databases such as SQL Server, Oracle, PostgreSQL, and Teradata to support analytics, reporting, and system integration.

Built interactive executive dashboards with drill-down capabilities and dynamic filters to enable data-driven strategic reviews.

Implemented monitoring and alerting for ETL workflows using tools like Azure Monitor and custom Python scripts, reducing downtime and enabling faster incident response.

Built and automated dashboards and ad-hoc reports using Power BI and Tableau, delivering insights into operations, performance metrics, and client behavior.

Participated in data warehousing projects involving ODS, OLAP, and ETL development, applying best practices in data governance, quality checks, and performance tuning.

Collaborated with cross-functional teams to define KPIs, build dimensional models, and present findings that supported both technical and business stakeholders.

Ensured secure and reliable data workflows by implementing data governance policies, documentation standards, and version control across ETL scripts and pipelines.

Education

Saint Peter's University- Jersey City, NJ

Master of Science in Business Analytics

Data Analysis & Decision Model, Data Science, Management Economics, Business Analytics, Marketing Analytics & Operation Research, Predictive Analysis & Financial Model

Contact this candidate