Chandramouli Naidu
Summary
Highly skilled Business Intelligence Data Engineer with 4.5 years of experience in analytics, reporting, data warehousing, and ETL processes. Demonstrated expertise in enhancing efficiency and productivity through BI technology and data engineering practices. Proven ability to transform data into actionable insights, driving strategic business decisions that resulted in increased revenue and cost savings. Proficient in data visualization and analytics using Power BI, SQL, Python. Experienced in developing and maintaining data pipelines using Azure Data Factory and Microsoft Fabric. Strong communicator adept at conveying complex data solutions to non-technical stakeholders effectively.
Overview
5
5
years of professional experience
1
1
Certification
Work History
Senior Analyst - BI
Tiger Analytics
03.2022 - Current
- Led a BI support project, acting as a Subject Matter Expert (SME) for a team of 3 BI professionals, and developed a Maturity Assessment Framework with checklists to evaluate Power BI solutions for best practices and product maturity. Created 5+ data flow solutions using Power Automate and Logic Apps, that replaced dataflow activity in Azure Data factory pipeline resulting in a 40% decrease in azure subscription cost.
- Developed a cost optimization solution in Power BI for the marketing team using Root-to-Market analysis, emphasizing ROI metrics through scenario modeling (What-If analysis) in collaboration with the Data Science team, resulting in a 15% increase in Sales representative's utilization and 19% increase in ROI.
- Ideated and developed a BI solution for stakeholders, incorporating competitor analysis and product quadrant analysis, which helped build effective pricing and promotion strategies. This led to informed decision-making for the top/bottom 10 products, enhancing market competitiveness and optimizing pricing strategies.
- Implemented best practices to establish a Medallion architecture, categorizing data into bronze, silver, and gold levels. Developed and executed automated ETL pipelines using Azure Data Factory, integrating Databricks notebooks. Implemented scheduling and email notifications for stakeholders to monitor pipeline status and progress, ensuring efficient data processing and delivery
- Developed a proof of concept (POC) to evaluate the viability of Microsoft Fabric, demonstrating its potential applications. Implemented within an Agile Scrum framework, fostering collaborative development and rapid iteration cycles.
Business Intelligence Developer
Mphasis
10.2019 - 03.2022
- Developed an automation dashboard to monitor incoming data batch tasks, reducing manual work hours by 2 hours per day and boosting Application Management team's productivity.
- Successfully migrated 40+ reports from legacy SAP BO to modern Power BI by designing visually appealing and impactful dashboards. Spearheaded the rapid development of dashboard POCs and scenario modeling reports to demonstrate design concepts and business proposals. Proficient in Power Query, DAX, Power BI Service.
- Scaled and optimized data models for efficiency which resulted in 70% performance improvement of report load time, developed robust SQL queries supported by view scripts to meet business requirements. Defined and analyzed KPIs to support crucial data-driven business decisions.
- Working experience in Snowflake Data warehouse for designing data models which are suitable for Analytics purpose (OLAP-Star Schema).
Education
Bachelor of Engineering - Computer Science
Tagore Engineering College
Chennai06.2019
Skills
- SQL
- Python
- Power BI
- Data Analysis
- Data Modeling
- Microsoft Fabric
- Azure Data Factory
- Excel
- Snowflake
- Generative AI (ChatGPT)
- Spark/PySpark
- ETL (Extract, Transform, Load)
- Data Warehousing
- Data Pipeline Development
- Data Visualization
- Data Mining
Accomplishments
- Achieved first place in the Power BI Data Analysis/Visualization international competition, organized by Model Citizen, with a prize of $150.
- Received commendation from managers and colleagues for consistently surpassing expectations by delivering projects ahead of schedule and implementing optimized solutions for BI and data challenges.
Certification
- Microsoft Certified Fabric Analytics Engineer Associate
- Databricks Data Engineer Associate
- Databricks Spark Developer
- Databricks GenAI Fundamentals
- Microsoft Certified Azure AI Fundamentals
Strengths
- Analytical Thinking: Ability to analyze complex data sets and derive actionable insights.
- Attention to Detail: High level of accuracy in data processing and reporting.
- Adaptability: Quick to learn new technologies and adapt to changing project requirements.
- Leadership: Demonstrated leadership in project management and guiding teams.
- Innovation: Constantly looking for ways to improve processes and leverage new technologies.
- Customer Focus: Dedicated to understanding and meeting the needs of business stakeholders.
Timeline
Senior Analyst - BI
Tiger Analytics
03.2022 - Current
Business Intelligence Developer
Mphasis
10.2019 - 03.2022
Bachelor of Engineering - Computer Science
Tagore Engineering College