KUNAL KAUSHAL — Product Manager

Data Engineering Manager with 11+ years of experience in building scalable data platforms, leading high-performing engineering teams, and delivering enterprise-grade data products that power data-driven decision-making. Specialized in translating complex business requirements into modern data strategies, architecting Microsoft Fabric & Azure Lakehouse ecosystems, and enabling end-to-end data automation across diverse industries including Banking, Retail, FMCG, Manufacturing, Finance, and Biomedical. Experienced in designing robust data architectures, governing data quality, and operationalizing analytics at scale using Fabric, Azure, Databricks, and Power BI. Known for enabling organizations to achieve faster insights, reduce manual processes, and build long-term data maturity. Core Strengths Leadership of data engineering teams and enterprise data initiatives Modern Lakehouse architecture (Bronze–Silver–Gold) on Microsoft Fabric & Azure Data product lifecycle ownership from vision to adoption Governance frameworks with Microsoft Purview, lineage, RLS, ACLs Cross-functional collaboration with Product, BI, and business stakeholders Scalable ETL/ELT pipelines, semantic models, and analytics-ready datasets Notable Project Highlight Led the development of a Finance Data Platform for a global FMCG organization by integrating SAP, Teradata, and HFM into a unified Azure Fabric Lakehouse. Delivered governed data ingestion, reusable ETL frameworks, near real-time reporting, and a single source of truth for finance teams, reducing manual effort by 60%. Technical Expertise Microsoft Fabric | Azure Synapse | ADF | Azure Databricks | ADLS | Azure SQL | Power BI | Python | SQL | PySpark | Hadoop | Hive | Docker | Kubernetes

Stackforce AI infers this person is a Data Engineering Manager specializing in Fintech and SaaS solutions.

Location: Bengaluru, Karnataka, India

Experience: 11 yrs 4 mos

Skills

Microsoft Fabric
Data Architecture
Data Product Development
Financial Reporting
Data Lake Development
Data Migration

Career Highlights

Expert in Microsoft Fabric and Azure Lakehouse architecture.
Led development of a unified Finance Data Platform.
Proven track record in data governance and compliance.

Work Experience

EXO Edge

Data Engineering Manager (1 yr 6 mos)

Tech Mahindra

Lead Data Engineer (1 yr 2 mos)

Quest Global

Senior Data Engineer (2 yrs 3 mos)

Target

Data Engineer (1 yr 1 mo)

Tata Group

Consultant (1 yr 5 mos)

Infosys

Data Analyst (3 yrs 11 mos)

Education

Post Graduate Programme In Management at Indian Institute of Management Sambalpur

KUNAL KAUSHAL

Product Manager

Bengaluru, Karnataka, India11 yrs 4 mos experience

Key Highlights

Expert in Microsoft Fabric and Azure Lakehouse architecture.
Led development of a unified Finance Data Platform.
Proven track record in data governance and compliance.

Stackforce AI infers this person is a Data Engineering Manager specializing in Fintech and SaaS solutions.

Contact

Skills

Core Skills

Microsoft FabricData ArchitectureData Product DevelopmentFinancial ReportingData Lake DevelopmentData Migration

Other Skills

LakehouseData ArchitectsFabric WarehouseSQLPython (Programming Language)Microsoft Power BIPySparkAzure Data FactoryAzure DatabricksAzure Data LakeAzure SynapseAzure DevOps ServicesPythonHadoopMongoDB

About

Experience

11 yrs 4 mos

Total Experience

1 yr 11 mos

Average Tenure

1 yr 6 mos

Current Experience

Exo edge

Data Engineering Manager

Dec 2024 – Present · 1 yr 6 mos · Bengaluru, Karnataka, India

Microsoft Fabric Product Strategy: Leading the roadmap and delivery of scalable data products and architectures using Microsoft Fabric components such as OneLake, Synapse, Dataflows, and Power BI—enabling unified data storage, processing, and advanced analytics across business functions.
Lakehouse Product Ownership: Driving the development and optimization of Fabric-based Lakehouse products, defining ingestion, transformation, and modeling strategies across Bronze, Silver, and Gold layers to ensure trusted, analytics-ready datasets for decision-making.
ETL/ELT Product Lifecycle Management: Overseeing the design and execution of data ingestion and transformation products using Azure Data Factory (ADF), Databricks, and Microsoft Fabric to deliver automated, high-quality, and business-aligned data workflows.
Data Insights Enablement: Partnering with stakeholders to build self-service analytics products through Power BI and Fabric integration—leveraging DAX, Power Query, and role-based access models to empower users with actionable insights.
Governance & Compliance Leadership: Defining and enforcing data governance frameworks within Microsoft Fabric, including row-level security, policy-based access, and Microsoft Purview integration to ensure compliance and data integrity.
Automation & Scalability Initiatives: Championing automation-first and scalable product practices using JSON-based deployments, Python scripting, and Fabric-native modeling techniques to reduce operational overhead and accelerate data delivery.

Microsoft FabricLakehouseData ArchitectsFabric WarehouseData Architecture

Tech mahindra

Lead Data Engineer

Jul 2023 – Sep 2024 · 1 yr 2 mos · Bengaluru, Karnataka, India · Hybrid

Led the architecture and delivery of a unified Finance Data Product integrating SAP, Teradata, and HFM into Microsoft Fabric, enabling a single source of truth for financial reporting and executive insights.
Key Highlights
Designed a scalable Fabric Lakehouse (OneLake, Synapse, Dataflows) across Bronze–Silver–Gold layers.
Built automated ETL frameworks using ADF, Databricks, and Fabric, reducing manual reporting by 40%.
Enabled real-time, self-service analytics through Power BI + Fabric semantic models.
Implemented governance with Microsoft Purview, establishing lineage, RLS, and compliance controls.
Collaborated with Finance, BI, and Product teams to deliver accurate and timely insights.
Delivered a governed, scalable, and high-confidence financial data ecosystem supporting faster decisions.

SQLPython (Programming Language)Microsoft Power BIPySparkAzure Data FactoryAzure Databricks+6

Quest global

Senior Data Engineer

Dec 2020 – Mar 2023 · 2 yrs 3 mos · Bengaluru, Karnataka, India

Led design and delivery of Azure-based data lake products using ADF, Databricks, ADLS, and Azure SQL, enabling unified and governed analytics.
Built reusable ETL/ELT frameworks with ADF, Databricks, and dbt to standardize ingestion, transformation, and quality validation.
Directed data migration from legacy to modern Azure platforms using Databricks and Python, ensuring data integrity and scalability.
Delivered IoT data products with Pub/Sub and real-time dashboards for improved monitoring and faster decisions.
Developed Power BI dashboards and semantic models with DAX and Power Query to drive KPI visibility and reporting efficiency.

Python (Programming Language)HadoopMongoDBMicrosoft Power BIPySparkData Lake Development+1

Target

Data Engineer

Oct 2018 – Nov 2019 · 1 yr 1 mo · Bengaluru, Karnataka, India

Experience on Integrating Azure Data Lake Storage Gen2 with other Azure services such as ADF, Azure Databricks. Using Data Factory, Data Lake Storage, Databricks for daily activities.
Preparing detailed functional specification of the product by complete analysis of requirements then choosing and applying the best model based on the performance characteristics of the data. Validating the model and presenting the report based on various data visualization techniques.
Analysing trends in categories, stores, distribution centres across service level, forecast accuracy metrics to identify product improvement opportunities.
Liaison with Business Partners, Infrastructural Engineers on an on-going basis to develop and improve the product. Builds business dashboards which show market trend analysis of retail metrics at both store and chain level.

Tata group

Consultant

Apr 2017 – Sep 2018 · 1 yr 5 mos · New Delhi Area, India

Led development of data products for financial analytics, integrating multiple data sources using advanced SQL, stored procedures, and real-time replication pipelines.
Partnered with stakeholders to design predictive data products for loan defaults, credit scoring, and risk assessment using Python and Keras, driving data-informed lending decisions.
Built loan analysis and risk modeling frameworks to assess eligibility, repayment probability, and creditworthiness—enhancing underwriting accuracy and decision speed.
Delivered actionable financial insights through Power BI and Tableau dashboards, improving visibility into credit performance and portfolio risk trends.

Infosys

Data Analyst

Aug 2011 – Jul 2015 · 3 yrs 11 mos · CHENNAI

Conceptualized, designed and strategized end to end Big Data and Analytics stack solution for both Retail and Banking Industry with a designated solution design team with emphasis on the creation of flat data model structure enabling customers to perform on the fly Analytics and Visualization for business insights.
Core competencies across SDLC Planning & Management including conducting case / system / process study for project planning and execution
Skilled at progressing from problem statement to well-document design.
Adept at mapping client’s requirements, analyzing and translating business requirements to technical requirements and architecture. Knowledge of all phases of Software Development Life Cycle (SDLC).
Had experience in data modeling using Star Schema Modeling, and Snowflake modeling, FACT and Dimensions tables, physical and logical modeling.
Strong skills in Data Analysis, Data Requirement Analysis and Data Mapping for ETL processes.