Analytics Engineer · India → Europe

MOKSHAGNA GUNTAMADUGU

Turning raw data into decisions —
Microsoft Fabric · Power BI · Agentic AI

Analytics Engineer at Accenture with 2+ years building enterprise-grade pipelines, governed semantic models, and AI-powered dashboards for Fortune 500 clients. Triple Microsoft certified. Ready to build the future of data in Europe.

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Dashboards Delivered

18+

Enterprise Power BI · Fortune 500

Manual Effort Reduced

70%

Power Automate · Power Apps

Data Accuracy

99%+

Automated Quality Frameworks

Microsoft Certifications

PL-300 · DP-600 · DP-700 + More

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Core Competencies

SKILLS & STACK

BI & Analytics

Power BI95%

DAX92%

Power Query (M)88%

Semantic Models90%

Cloud & Data Platform

Microsoft Fabric90%

Azure Data Factory87%

Azure Databricks80%

Delta Lake / ADLS Gen283%

Engineering & Code

SQL / T-SQL93%

Python (Pandas/NumPy)82%

ELT / ETL Pipelines88%

Data Modeling (Star/Snowflake)91%

AI & Automation

Agentic AI Workflows85%

Claude Code / LLM APIs82%

Power Automate88%

Generative AI Integration80%

🏆

PL-300 Power BI Analyst

Microsoft Certified

⚡

DP-600 Fabric Analytics Eng.

Microsoft Certified

🔧

DP-700 Fabric Data Engineer

Microsoft Certified

🤖

Claude Code in Action

Anthropic · 2025

🧠

Reinvention with Agentic AI

Professional Certification

Selected Work

DATA PROJECTS

Monthly Pipeline Volume · 10 Sources

Data Engineering

Enterprise Multi-Source
ELT Pipeline Platform

Built a scalable ELT pipeline architecture on Microsoft Fabric and Azure Data Factory to consolidate 10+ data sources across manufacturing, healthcare, and financial services divisions for a Fortune 500 client. Implemented incremental loads, CDC patterns, and automated data quality checks achieving 99%+ accuracy. Reduced processing overhead by 40% through optimised Delta Lake partitioning strategies.

10+

Data Sources

99%+

Accuracy

40%

Faster Processing

Industries

Microsoft Fabric Azure Data Factory Delta Lake ADLS Gen2 SQL Python CDC Patterns

KPI Trend · 12 Month View

            ● Revenue
            ● Target
          

Data Analytics · BI

Executive KPI
Dashboard Suite

Designed and delivered a suite of 18+ Power BI dashboards for Fortune 500 executives across manufacturing and healthcare. Built governed semantic models with star-schema architecture, DAX measures library, and row-level security for 15+ governed datasets.

18+

Dashboards

15+

RLS Datasets

C-Suite

Audience

Power BI DAX Semantic Models Row-Level Security Power Query

Agentic AI Pipeline Graph

AI & Automation

Agentic Analytics
Automation Platform

Pioneered GenAI and agentic AI integration for automated insight generation, anomaly detection, and natural language querying of Power BI datasets. Built with Claude Code and LLM APIs — reduced manual reporting effort by 70%.

70%

Effort Saved

NLP

Query Interface

Real-time

Anomaly Detection

Agentic AI Claude Code Power Automate LLM APIs Python Power Apps

                Data Quality Score99.2%
              

                RLS Coverage100%
              

                Pipeline Uptime99.7%
              

                Validation Pass Rate98.5%
              

Data Governance · Analytics

Enterprise Data
Governance Framework

Designed and implemented an enterprise data governance framework with automated validation checks, row-level security across 15+ datasets, and compliance documentation aligned to enterprise standards. Maintained 99%+ data accuracy SLA.

15+

Governed Datasets

99%+

SLA Met

RLS

Security Layer

Row-Level Security RBAC Azure SQL Snowflake Data Lineage CI/CD Analytics

Career History

WORK EXPERIENCE

Feb 2024 — Present

Analytics Engineer · Data Analyst

Accenture — Fortune 500 Clients · India

Delivered 18+ enterprise Power BI dashboards for clients in manufacturing, healthcare, sustainability, and financial services — directly contributing to client acquisition and revenue growth

Architected Microsoft Fabric ELT pipelines with Azure Data Factory and Delta Lake — implementing CDC patterns that reduced processing overhead by 40%

Built governed semantic models, star-schema data warehouses, and KPI frameworks standardising reporting across business units for single-source-of-truth analytics

Implemented Row-Level Security and RBAC across 15+ governed datasets ensuring compliant reporting for sensitive enterprise data

Pioneered GenAI + agentic AI integration using Claude Code for automated insight summaries, anomaly detection, and NLP querying of dashboards — cutting manual effort by 70%

Established automated data quality frameworks with validation checks maintaining 99%+ data accuracy SLA across all governed pipelines

2019 — 2023

B.Tech — Computer Science & Engineering

Chandigarh University · India

Graduated with specialisation in data systems, algorithms, and software engineering

Built foundational skills in Python, SQL, and database management that underpin all current enterprise analytics work