Mohith Krishna M Kamath profile photo 1 on Tal

Mohith Krishna M Kamath

Analytics Engineer | Building Scalable Data Pipelines & BI Solutions | Databricks · Azure · Power BI

Bengaluru

2+ years of work experience

Birla Carbon
Mar 20251 yr 9 mosPresent

Supporting enterprise analytics and data engineering initiatives for manufacturing operations by developing scalable data pipelines, analytics solutions, and reporting platforms using Databricks, Azure Data Factory, Power BI, SQL, and Azure DevOps. • Developed and maintained data pipelines across Yield, Raw Material, Energy, APH, Continua, and Manufacturing Cockpit initiatives. • Re-engineered and standardized 20+ business KPIs in Databricks, creating a centralized calculation layer and improving reporting scalability. • Implemented CI/CD pipelines and migrated Row-Level Security (RLS) to Databricks across 7+ enterprise reports. • Automated data ingestion and reporting workflows, reducing manual effort and accelerating data availability. • Resolved 100+ production support, enhancement, and defect requests through Azure DevOps, ensuring uninterrupted business reporting. • Supported SAP data integration and developed analytics-ready data models for manufacturing and operational reporting.
Birla Carbon
Sep 20246 mosFeb 2025

Contributed to business intelligence and reporting initiatives focused on improving reporting efficiency, data accessibility, and process automation using Power BI and Microsoft Power Platform. • Developed an automated Yield Summary reporting solution in Power BI, replacing manual reporting processes and improving reporting efficiency. • Designed and implemented mobile layouts for Sales & Marketing dashboards, enabling leadership to access KPIs and business insights on mobile devices. • Performed data validation and reconciliation between source systems and Power BI reports to ensure reporting accuracy and data consistency. • Supported Power Platform initiatives to automate manual business processes and improve operational efficiency. • Collaborated with business stakeholders to enhance reporting solutions and address analytics requirements.
E42.ai
Feb 20244 mosMay 2024

Pune District, Maharashtra, India

Worked on AI-powered automation solutions involving conversational AI, Natural Language Processing (NLP), and system integrations to streamline business workflows. • Developed AI-driven chatbots ("AI Workers") for conversational automation and intelligent workflow execution. • Built custom APIs to integrate AI solutions with external applications and enterprise systems. • Implemented NLP-based text extraction and document processing solutions. • Supported automation of business processes through conversational AI and workflow orchestration. • Collaborated with development teams to enhance chatbot functionality and integration capabilities.

Mohith’s AI Stack

claude code
claude code
openai
openai

Education

St Joseph's University

Master of Science - MS, Big Data Analytics

St Joseph's University

20222 yrs2024
St. Aloysius (Deemed to be University)

Bachelor of Science - BS, Mathematics ,Computer Science and Statistics

St. Aloysius (Deemed to be University)

20193 yrs2022

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Headline

Analytics Engineer | Building Scalable Data Pipelines & BI Solutions | Databricks · Azure · Power BI

About

Analytics Engineer with 1.5+ years at Birla Carbon, building production-grade data pipelines and BI solutions for manufacturing operations. I work across Databricks, Azure Data Factory, Power BI, and SQL to engineer scalable analytics — from KPI standardization to CI/CD automation across enterprise reports. Background in Big Data Analytics (M.S.), Computer Science, Mathematics & Statistics. Previously built AI automation solutions at E42.ai using NLP and conversational AI. Open to roles in data engineering, analytics engineering, or BI development.

Location

Bengaluru

AI stack

claude code

openai

Work experience

Analytics Engineer at Birla Carbon, Mar 2025 - Present · 1 yr 9 mos, Supporting enterprise analytics and data engineering initiatives for manufacturing operations by developing scalable data pipelines, analytics solutions, and reporting platforms using Databricks, Azure Data Factory, Power BI, SQL, and Azure DevOps. • Developed and maintained data pipelines across Yield, Raw Material, Energy, APH, Continua, and Manufacturing Cockpit initiatives. • Re-engineered and standardized 20+ business KPIs in Databricks, creating a centralized calculation layer and improving reporting scalability. • Implemented CI/CD pipelines and migrated Row-Level Security (RLS) to Databricks across 7+ enterprise reports. • Automated data ingestion and reporting workflows, reducing manual effort and accelerating data availability. • Resolved 100+ production support, enhancement, and defect requests through Azure DevOps, ensuring uninterrupted business reporting. • Supported SAP data integration and developed analytics-ready data models for manufacturing and operational reporting.

Internship Trainee at Birla Carbon, Sep 2024 - Feb 2025 · 6 mos, Contributed to business intelligence and reporting initiatives focused on improving reporting efficiency, data accessibility, and process automation using Power BI and Microsoft Power Platform. • Developed an automated Yield Summary reporting solution in Power BI, replacing manual reporting processes and improving reporting efficiency. • Designed and implemented mobile layouts for Sales & Marketing dashboards, enabling leadership to access KPIs and business insights on mobile devices. • Performed data validation and reconciliation between source systems and Power BI reports to ensure reporting accuracy and data consistency. • Supported Power Platform initiatives to automate manual business processes and improve operational efficiency. • Collaborated with business stakeholders to enhance reporting solutions and address analytics requirements.

Al Worker Specialist Intern at E42.ai, Feb 2024 - May 2024 · 4 mos, Pune District, Maharashtra, India, Worked on AI-powered automation solutions involving conversational AI, Natural Language Processing (NLP), and system integrations to streamline business workflows. • Developed AI-driven chatbots ("AI Workers") for conversational automation and intelligent workflow execution. • Built custom APIs to integrate AI solutions with external applications and enterprise systems. • Implemented NLP-based text extraction and document processing solutions. • Supported automation of business processes through conversational AI and workflow orchestration. • Collaborated with development teams to enhance chatbot functionality and integration capabilities.

Education

Master of Science - MS, Big Data Analytics, St Joseph's University

Bachelor of Science - BS, Mathematics ,Computer Science and Statistics, St. Aloysius (Deemed to be University)