---
title: "Adesh Mishra - BI (Data Engineer) in Mumbai Metropolitan Region | Tal"
description: "Meet Adesh Mishra, BI Data Engineer | Python, PySpark, SQL, Power BI, Tableau, Azure Databricks | ETL & Data Modeling | Healthcare, BFSI & Finance | 3.5+ Years based in Mumbai Metropolitan Region."
image: "https://tal.club/meet/adesh-2/share-image"
---

# Adesh Mishra on Tal

## Headline

BI Data Engineer \| Python, PySpark, SQL, Power BI, Tableau, Azure Databricks \| ETL & Data Modeling \| Healthcare, BFSI & Finance \| 3\.5\+ Years

## About

Results\-driven BI Data Engineer with over 3\+ years of experience in transforming complex datasets into actionable insights\. Proficient in Power BI, Tableau, SQL, Python, BigQuery, and Adobe Analytics for dashboarding, reporting, and business intelligence solutions\. I have experience in automating ETL workflows, optimizing data processes, and designing KPI\-driven dashboards to enhance business efficiency and decision\-making\. Key Achievements: \- Automated ETL processes, reducing manual work and improving data accuracy by 30%\. \- Designed interactive dashboards in Power BI and Tableau for real\-time business monitoring\. \- Managed large datasets and provided actionable insights that informed strategic decisions\. \- Collaborated with cross\-functional teams to define KPIs and deliver customised business intelligence reporting solutions\. I am seeking challenging opportunities where I can leverage my analytics and business intelligence expertise as an immediate joiner to deliver data\-driven insights and measurable impact\. expertise as an immediate joiner to deliver data\-driven insights and measurable impact\.

## Location

Mumbai Metropolitan Region

## Work experience

BI \(Data Engineer\) at Sceniuz IT Pvt\. Ltd\., Mar 2026 \- May 2026 · 3 mos, Mumbai, • Developed 5 interactive HR Analytics dashboards in Power BI for Glenmark Pharma, tracking workforce KPIs — Headcount, Attrition Rate, Hiring Trends, Employee Movement, and Diversity Analysis — across 10\+ departments and multiple locations\. • Engineered optimized SQL queries and Power Query M ETL transformations on employee master, payroll, hiring, and exit datasets, reducing data preparation time by 20% and improving reporting accuracy\. • Architected scalable star schema data models and built 15\+ advanced DAX measures for KPIs including Active Employees, New Hires YTD, Average Tenure, and YoY workforce comparison, improving dashboard load performance by 35%\. • Collaborated with HR stakeholders, BI teams, and business users in an Agile/JIRA environment, driving UAT validation and delivering workforce analytics solutions on time with zero escalations\.

Business Intelligence Specialist at TELUS Digital, May 2025 \- Oct 2025 · 6 mos, Ahmedabad, •Architected KPI frameworks and Google Looker Studio scorecards adopted by senior leadership, improving financial decision\-making visibility across 3 business units\. • Spearheaded end\-to\-end BRD/FRD requirements gathering via stakeholder interviews, AS\-IS/TO\-BE gap analysis, and UML 2\.0 diagrams, achieving 100% UAT alignment with zero post\-delivery change requests\. • Engineered Silver\-layer data models in Azure Databricks using optimized SQL, reducing BI query response time by 40% for Tableau consumption layers\. • Delivered optimized KPI SQL views and semantic models, enabling self\-service reporting for BI teams without engineering intervention\. • Coordinated cross\-functional delivery across IT, BI, and business teams via JIRA in an Agile sprint framework, meeting all milestones on schedule\.

BI \(Data Engineer\) at Course5i, Aug 2022 \- Apr 2025 · 2 yrs 9 mos, Airoli, Client: Dell Technologies — Azure Data Engineering & ETL Pipelines • Designed, built, and maintained 40\+ ETL/ELT pipelines in Azure Data Factory \(ADF\) integrating REST APIs, databases, and flat files, sustaining a 98%\+ pipeline success rate across Finance, Healthcare, and Retail\. • Optimized PySpark transformation jobs in Azure Databricks, improving data processing throughput by 60% and cutting compute costs for large\-scale SC&O workloads\. • Implemented Unity Catalog governance model for centralized data access control, enabling role\-based security and reducing unauthorized access incidents to zero\. • Automated repetitive ETL workflow steps using ADF triggers and Databricks notebooks, eliminating 35% of manual engineering effort per sprint\. • Built and maintained Delta Lake Silver\-layer views and reusable KPI SQL scripts, serving as the single source of truth for all downstream BI tools\. Client: Philips Global Homes — Enterprise BI Analytics & KPI Dashboarding • Developed and maintained 15\+ Power BI and Tableau dashboards for 5\+ enterprise clients across\. Finance, Healthcare, Marketing, Retail, and SC&O, delivering KPI insights to C\-suite and management audiences\. • Improved KPI reporting accuracy by 25% through optimized DAX measures, semantic data models, and Power Query M transformations\. • Integrated heterogeneous data sources — Azure Synapse Analytics, MySQL, and BigQuery — into a unified enterprise reporting layer, reducing data preparation time by 30%\. • Enforced end\-to\-end data quality with QA and data engineering teams, achieving zero data discrepancy incidents in production dashboards over 12 months\. • Leveraged LOD expressions, context filters, and Tableau extracts to optimize dashboard refresh performance by 50% for datasets exceeding 10M rows\.

Market Research Intern at Kantar, Feb 2021 \- May 2021 · 4 mos, Mumbai, Maharashtra, India,  To monitor category\-wise brand reach and retail KPI's monthly\.  To collect the primary data in the digital format \(Tablet\)\.  To compare the data within the set time frame\.  Providing Web Audience Measurement \(WAM\)\.

## Education

Master of Business Administration \- MBA, Marketing/operation, ICFAI business school

Bachelor of Information Technology, data analyst, Guru Nanak Khalsa College of Arts Science & Commerce

[View the original profile](https://tal.club/meet/adesh-2)

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