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Adesh Mishra

BI Data Engineer | Python, PySpark, SQL, Power BI, Tableau, Azure Databricks | ETL & Data Modeling | Healthcare, BFSI & Finance | 3.5+ Years

Mumbai Metropolitan Region

3+ years of work experience

Sceniuz IT Pvt. Ltd.
Mar 20263 mosMay 2026

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.
TELUS Digital
May 20256 mosOct 2025

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.
Course5i
Aug 20222 yrs 9 mosApr 2025

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.
Kantar
Feb 20214 mosMay 2021

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

ICFAI business school

Master of Business Administration - MBA, Marketing/operation

ICFAI business school

20202 yrs2022

Bachelor of Information Technology, data analyst

Guru Nanak Khalsa College of Arts Science & Commerce

20172 yrs2019

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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