Sidharth RameshLead Data Engineer
AI Specialist building intelligent, scalable data solutions that drive business innovation
About Me
I'm an accomplished Lead Data Engineer with over 0+ years of expertise in creating and maintaining data and MLOps pipeline architecture from the ground up.
My passion lies in Gen AI Technologies and building intelligent, scalable solutions that drive business innovation. I've successfully delivered automation frameworks that resulted in $0K annual savings and reduced manual workloads by 0%.
With dual Master's degrees in Computer Science (Georgia Tech, 2024) and Mechanical Engineering (Rose-Hulman, 2016), I bring a unique blend of theoretical knowledge and practical expertise to every project.
Core Specializations
Professional Experience
8+ years of building scalable data solutions across diverse industries
Lead Data Engineer
Leading data engineering initiatives and Gen AI implementations for Fortune 500 clients.
Key Achievements
- Developed MLOps application reducing manual workload from 3 weeks to 2 hours
- Built Gen AI automation using Llama 400B, saving $300K annually
- Created agentic chatbot with RAG capabilities for retail sales data interaction
- Led Oracle to Snowflake migration for multiple schemas with Star Schema design
- Built Tableau dashboards reducing manual work by 40 hours monthly
Technologies Used
Data Engineer
Architected AWS-based data solutions and enterprise data warehouse migration.
Key Achievements
- Designed AWS 3-tier highly available and secure architecture
- Migrated enterprise data warehouse from MySQL to PostgreSQL Aurora RDS
- Developed data pipeline infrastructure integrating fuel distribution and GPS systems
- Created Tableau dashboards for operational efficiency monitoring
Technologies Used
Data Engineer
Enhanced data quality and implemented AI/ML solutions for enterprise systems.
Key Achievements
- Led ETL pipeline development using SSIS for Salesforce integration
- Implemented AI/ML solutions in Knime and SAS Viya
- Participated in SQL Server Data Warehouse migration to Azure
- Engineered advanced SQL scripts for dimension and fact tables
Technologies Used
Data Analyst
Facilitated GSA cloud migration and developed federal data reporting systems.
Key Achievements
- Developed ETL data models from MongoDB and AWS Redshift
- Established Proof-of-Concept using Apache Zeppelin, Hadoop, and Spark
- Built business reports for federal Transactional Data Repository
- Implemented multi-layer cloud architecture using AWS and Ansible
- Maximized data quality through database optimization solutions
Technologies Used
Technical Expertise
Comprehensive skillset spanning modern data engineering and AI technologies
Cloud Platforms
Gen AI & ML
Data Engineering
Databases
Programming
DevOps & Tools
Additional Technologies & Tools
BI Tools
Web Development
Operating Systems
Methodologies
Featured Projects
Transformative solutions delivering measurable business impact
Gen AI DPIS Automation
Revolutionary web application automating Demo Product Information Sheet process using Streamlit, Langchain, and Meta's Llama 400B model.
Key Achievements
- Reduced manual processing time by 95%
- Automated complex document generation
- Integrated with enterprise systems
Technologies
MLOps Model Monitoring Platform
Comprehensive model monitoring application for pricing engineering team, built from scratch using Python OOPs and automation frameworks.
Key Achievements
- Automated model behavior analysis
- Real-time performance monitoring
- Reduced manual workload significantly
Technologies
Agentic RAG Chatbot
Intelligent chatbot with RAG capabilities enabling natural language interaction with retail sales data and automated PowerPoint report generation.
Key Achievements
- Natural language data querying
- Automated report generation
- Enhanced user experience
Technologies
Oracle to Snowflake Migration
Led comprehensive data migration project from Oracle to Snowflake, designing and implementing Star Schema Data Model for multiple schemas.
Key Achievements
- Migrated multiple enterprise schemas
- Designed optimized Star Schema
- Ensured zero data loss
Technologies
AWS 3-Tier Architecture
Designed and implemented highly available and secure AWS architecture for database and web applications with enterprise data warehouse migration.
Key Achievements
- Highly available architecture
- Secure multi-tier design
- Successful database migration
Technologies
Federal Data Repository
Developed comprehensive business and analytical reports for federal Transactional Data Repository with advanced data visualization and chatbot PoC.
Key Achievements
- Federal-grade data reporting
- Advanced data visualization
- AI chatbot implementation
Technologies
Interested in Similar Solutions?
I specialize in building scalable data engineering solutions, Gen AI applications, and MLOps platforms that deliver measurable business impact.
Professional Certifications
Industry-recognized credentials validating expertise across cloud and data technologies
Snowflake SnowPro Core
Advanced data warehousing and cloud data platform expertise
Key Skills
AWS Solutions Architect Associate
Designing distributed systems and cloud solutions on AWS
Key Skills
Databricks Certified Associate Developer
Apache Spark 3.0 development and data engineering on Databricks
Key Skills
Azure Data Engineer DP-201
Designing Azure data solutions and data storage systems
Key Skills
Azure Data Engineer DP-200
Implementing Azure data solutions and data processing
Key Skills
Azure Fundamentals AZ-900
Core Azure services, security, privacy, compliance, and trust
Key Skills
Tableau Desktop 10 Qualified Associate
Data visualization and business intelligence with Tableau
Key Skills
Continuous Learning Journey
Staying current with the latest technologies and industry best practices through continuous certification and hands-on experience.
Educational Background
Strong academic foundation combining computer science expertise with engineering discipline
Master of Science in Computer Science
Advanced coursework in machine learning, data science, and artificial intelligence with focus on practical applications in enterprise environments.
Key Highlights
Career Relevance
Directly applicable to current Gen AI and MLOps expertise
Master of Science in Mechanical Engineering
Focused on advanced engineering analysis, computational methods, and applied mathematics with thesis research in Finite Element Analysis.
Key Highlights
Career Relevance
Strong analytical foundation supporting data engineering expertise
Bachelor of Technology in Mechanical Engineering
Comprehensive engineering education with strong emphasis on problem-solving, analytical thinking, and technical fundamentals.
Key Highlights
Career Relevance
Foundation for systematic approach to complex technical challenges
Academic Foundation
My dual Master's degrees in Computer Science and Mechanical Engineering provide a unique blend of computational expertise and analytical rigor, directly supporting my success in data engineering and AI applications.
Computational Methods
Advanced algorithms, mathematical modeling, and analytical thinking
Research Excellence
Thesis research, academic rigor, and evidence-based problem solving
Continuous Learning
Commitment to lifelong learning and staying current with technology