Prakash Ravichandran — Data Engineer

💡 About Me I am a Data Engineer with 4 years of experience in designing and implementing end-to-end ETL workflows, scalable data pipelines, and cloud-native solutions. My expertise lies in Azure, Databricks, and PySpark, complemented by strong skills in Data Modeling, Warehousing, and Performance Optimization. 🔹 At Tiger Analytics, I built a Generative AI–powered code scanning solution integrating Databricks, FastAPI, and Streamlit — improving efficiency by 60% and reducing resource usage by 50%. 🔹 At Infosys, I enhanced 18+ data products with Databricks Unity Catalog, automated pipeline optimizations, and cut processing time by 40%. 🔹 At Cognizant, I developed end-to-end Azure pipelines (ADF, Databricks, ADLS, Synapse) that reduced retrieval time by 50% and improved overall performance. ⚙️ Core Expertise Cloud & Data Platforms: Azure (ADF, Databricks, Synapse, ADLS, Blob, SQL) Programming & Processing: Python, SQL, PySpark, SparkSQL AI & Innovation: GenAI, LLMs, Databricks Genie AI Data Visualization: Power BI, IBM Cognos DevOps & Automation: Azure DevOps, Git, Jenkins, Bitbucket Frameworks: Streamlit, FastAPI 🏆 Achievements ✔ Delivered an end-to-end product adopted by top-tier clients ✔ Implemented Unity Catalog across 18 teams with zero escalations ✔ Optimized ETL workflows → 35% cost savings and 60% faster pipelines 📌 Freelancing & Mentoring Beyond corporate experience, I actively work as a Data Freelance Consultant, helping organizations design efficient data pipelines and cloud solutions. I am also a mentor to 700+ aspiring data professionals, guiding them in career growth, Azure certification prep, and hands-on project experience. 🎓 Certifications: 3× Microsoft Certified (DP-203, DP-900, AZ-900) 🎓 Education: B.E. (MIT, Anna University) | M.Tech Data Science & Engineering (BITS Pilani) 🚀 Passionate about data-driven innovation, I combine technical expertise with mentoring and freelancing to deliver impact — helping businesses grow and professionals upskill in the evolving world of Data & AI.

Stackforce AI infers this person is a Data Engineering professional with expertise in cloud-native solutions and data pipeline optimization.

Location: Chennai, Tamil Nadu, India

Experience: 4 yrs 6 mos

Skills

Databricks
Data Engineering
Azure Data Factory

Career Highlights

Built a Generative AI-powered code scanning solution.
Implemented Unity Catalog across 18 teams with zero escalations.
Optimized ETL workflows for significant cost savings.

Work Experience

Tiger Analytics

Data Engineer (1 yr 2 mos)

Infosys

Data Engineer (9 mos)

Cognizant

Associate Data Engineer (1 yr 7 mos)

Junior Data Engineer (1 yr)

Reach Skyline

Data Engineer Intern (3 mos)

MAD EDUCATORS

Data Science Intern (3 mos)

Education

Master of Technology - MTech at Birla Institute of Technology and Science, Pilani

Bachelor of Engineering - BE at Madras Institute of Technology

Prakash Ravichandran

Data Engineer

Chennai, Tamil Nadu, India4 yrs 6 mos experience

Key Highlights

Built a Generative AI-powered code scanning solution.
Implemented Unity Catalog across 18 teams with zero escalations.
Optimized ETL workflows for significant cost savings.

Stackforce AI infers this person is a Data Engineering professional with expertise in cloud-native solutions and data pipeline optimization.

Contact

Skills

Core Skills

DatabricksData EngineeringAzure Data Factory

Other Skills

Adobe IllustratorAdobe InDesignAdobe PhotoshopAdobe XDAutomationAzure DatabricksBig DataData AnalysisData GovernanceData LakesData Pipeline DesignData Pipeline OptimizationData ScienceData TransformationData Visualization

About

Experience

Tiger analytics

Data Engineer

Jan 2025 – Present · 1 yr 2 mos · Chennai, Tamil Nadu, India · Hybrid

Infosys

Data Engineer

Apr 2024 – Jan 2025 · 9 mos

Designed and implemented efficient data pipelines using Databricks to transform raw data from source to mart layers, resulting in a 40% reduction in processing time and improved decision-making.
Enhanced data governance and access control by implementing Databricks Unity Catalog in all 18 data
products successfully.
Automated key data engineering tasks, including Storage Optimization and internal-to-external table
conversion, through the development of specialized notebooks

DatabricksUnity CatalogData GovernanceData Pipeline OptimizationData Engineering

Cognizant

2 roles

Associate Data Engineer

Promoted

Sep 2022 – Apr 2024 · 1 yr 7 mos

Designed and implemented end-to-end data pipelines, utilizing Azure Data Factory, to transform raw data
into actionable insights. This led to an improved decision-making process and a 40% reduction in data
processing time.
Employed Azure Databricks and PySpark for advanced data processing and analytics, ensuring optimal
performance and scalability.
Spearheaded the development and implementation of storage solutions, utilizing Azure Blob Storage,
Azure Data Lake Gen2, and Azure SQL. These efforts resulted in a 50% reduction in data retrieval time
and improved overall system performance.
Facilitated data loading in the Enterprise Data Lake (EDL), from the raw data store to the bronze, silver ,
gold and mart layers.
Conducted Performance tuning and optimization of data pipelines to enhance overall system efficiency.
Proficient in designing and implementing Azure DevOps CI/CD pipelines for data engineering projects,
optimizing automation, and ensuring scalability, security, and compliance.

Azure Data FactoryAzure DatabricksPySparkData Pipeline DesignData Engineering

Junior Data Engineer

Sep 2021 – Sep 2022 · 1 yr

Reach skyline

Data Engineer Intern

Sep 2020 – Dec 2020 · 3 mos · Chennai, Tamil Nadu, India

Gained hands-on experience in SQL and Azure Data Factory for data extraction, transformation, and loading (ETL).
Assisted in building and maintaining ETL pipelines to ensure smooth data flow and accuracy.
Supported data integration and workflow optimization for better business insights.
Developed practical skills in cloud-based data engineering and real-world data processing.

SQLAzure Data FactoryETLData Engineering

Mad educators

Data Science Intern

Jun 2020 – Sep 2020 · 3 mos · Delhi, India · Remote

Assisted in data collection, cleaning, and preprocessing using SQL and Python.
Supported the development of data pipelines and automated workflows using Azure Data Factory.
Conducted exploratory data analysis (EDA) to generate insights for business decision-making.
Gained hands-on experience with data manipulation, visualization, and cloud-based data tools.

SQLPythonData Analysis