Dilip Kumar

AI Researcher

7 yrs 3 mos experience

Key Highlights

7+ years of experience in data engineering.
Expert in building scalable data pipelines.
Passionate about transforming raw data into insights.

Stackforce AI infers this person is a Data Engineering expert in SaaS with a focus on analytics and automation.

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Skills

Core Skills

Data EngineeringData Analytics

Other Skills

APIsAirflowAmazon RedshiftAmazon Web Services (AWS)Analytical SkillsAzure Data FactoryAzure Data StudioAzure DatabricksAzure Logic AppsAzure SynapseBusiness AnalysisData AnalysisData AutomationData IntegrationData Lake

About

I am a Data Engineer with 7+ years of experience in Power BI, SQL, Python,Data bricks,PySpark, AWS and Azure Synapse, helping organizations transform raw data into actionable insights. I specialize in building scalable data pipelines, automating workflows, and designing interactive dashboards that empower data-driven decisions. Passionate about solving business problems with technology, I focus on driving efficiency, transparency, and growth through analytics.

Experience

Latentview analytics

Lead Data Engineer

Nov 2025 – Present · 4 mos

Vishwa samudra holdings

Data Analytics Manager

Oct 2024 – Oct 2025 · 1 yr · Hyderabad, Telangana, India · On-site

⬧ Lead end-to-end data analytics and development of Data Lake from scratch & reporting initiatives using Power BI, integrating multiple sources including Azure
Synapse, SharePoint, and serverless SQL views.
⬧ Built and managed Azure Synapse ETL pipelines and Azure Data Factory workflows for multiple projects:
FleetX API: Pulled fleet data, processed it in Synapse, and stored it in Azure Blob for reporting.
KT Telematics & Sensor Data: Automated ingestion and transformation using PySpark in Spark Pool, pulling
data directly from sensor APIs.
Darwin Box: Integrated HR data for workforce analytics dashboards.
SAP Integration: Streamlined finance and operations reporting by automating data transfer from Synapse to
SAP.
Federal Bank Integration: Automated daily reconciliation and reporting processes.
⬧ Developed Fuel Dashboard in Power BI to monitor fuel consumption, cost trends, and efficiency metrics across
fleets.
⬧ Designed and implemented Logic Apps workflows and APIs to automate business processes:
Created APIs for data ingestion, transformation, and integration.
Automated file retrieval from emails, placement in SharePoint, and triggering of ETL pipelines.
Set up pipeline triggers in Synapse and Data Factory for automated and scheduled data refresh.
⬧ Created and optimized tables and views in Azure Serverless SQL, supporting ETL pipelines and reporting
requirements.
⬧ Implemented data quality checks, monitoring, and validation to ensure accuracy, completeness, and reliability of
reports.
⬧ Developed frameworks for forecasting, KPI tracking, trend analysis, and executive dashboards to support strategic
decision-making.
⬧ Optimized cloud-based data storage, ETL pipelines, Spark Pool performance, and Data Factory workflows.
⬧ Mentored junior analysts and established best practices in data management, pipeline development, and
reporting automation.