Prashanth Darsha

Product Engineer

Bengaluru, Karnataka, India4 yrs 7 mos experience

Key Highlights

Expert in Azure Data Engineering with proven results.
Successfully modernized data platforms for leading clients.
Strong focus on automation and data-driven analytics.

Stackforce AI infers this person is a Data Engineer specializing in Fintech and SaaS data solutions.

Contact

Skills

Core Skills

Data EngineeringAzure Data FactoryManufacturing Systems

Other Skills

DatabricksPySparkADLS Gen2Azure SQLPythonSQLAzure DatabricksMicrosoft SQL ServerMySQLMicrosoft Power BIAzure Key VaultLogic AppsSQL Server Integration Services (SSIS)Microsoft ExcelMicrosoft Azure

About

Experienced Data Engineer with 4.3 years of hands-on experience in Azure-based data engineering and 3+ years of overall IT experience. Skilled in designing, developing, and optimizing scalable data pipelines using Azure Data Factory (ADF), Databricks (Py-Spark), Azure SQL, and ADLS Gen2, with proven expertise in ETL/ELT development, cloud data migration, and enabling data-driven analytics. Currently working on the Ace Insurance (UK) project via Deloitte, focusing on enterprise-scale data integration, modernization, and cloud migration strategies to streamline. Successfully delivered high-impact solutions ensuring performance, data quality, and on-time delivery across development, QA, and production stages. Previously contributed to data modernization and integration projects for leading clients, OPTUM- Enterprise Healthcare Data Modernization, Mercedes-Benz (UK), and Wells Fargo (JP Morgan). Hands-on expertise in cloud data platforms, big data processing, and legacy data ingestion using SSIS, as well as data warehouse modernization on Azure. Proficient in SQL, Python (Pandas), Power BI, and Logic Apps, with a strong focus on automation, data governance, and performance tuning. Thrive in Agile environments, collaborating with cross-functional teams to deliver business value and drive data initiatives from design to deployment.

Experience

4 yrs 7 mos

Total Experience

11 mos

Average Tenure

Current Experience

Self employed

Freelancer Data Engineer

Mar 2026 – Apr 2026 · 1 mo · Bangalore Urban, Karnataka, India · Remote

Worked as a Freelance Azure Data Engineer, building end-to-end data engineering solutions using Azure services.
Designed and developed ETL pipelines using Azure Data Factory (ADF) and Databricks (PySpark)
Built data ingestion pipelines from multiple sources (CSV, APIs, SQL) into ADLS Gen2
Performed data transformation, cleaning, and aggregation using PySpark
Implemented Medallion Architecture (Bronze, Silver, Gold layers) for data processing
Developed incremental data loading using watermark logic
Handled production-like issues such as pipeline failures, schema drift, and data-bricks performance optimization
Technologies Used: Azure Data Factory, Databricks, PySpark, ADLS Gen2, Azure SQL, Python, SQL

Azure Data FactoryDatabricksPySparkADLS Gen2Azure SQLPython+2

Visionyle solutions

Senior Software Engineer

Jul 2025 – Jan 2026 · 6 mos · Bangalore Urban, Karnataka, India · Hybrid

I'm excited to share that I have recently been placed at Visionyle Solutions Pvt Ltd as a Sr Software Engineer.
I'm currently working for our prestigious client- Deloitte USI as DataEngineer, contributing to impactful projects and advancing my skills in Azure, SQL, Python, Pyspark and Data Engineering.

Azure DatabricksAzure Data FactoryPySparkPythonMicrosoft SQL ServerData Engineering

Career break

Caregiving

Nov 2024 – Jun 2025 · 7 mos · Bengaluru, Karnataka, India

Took a short personal break to support my wife’s recovery following a serious accident. Now that she has fully recovered, I am actively looking for full-time opportunities. During this period, I continued self-paced upskilling in Azure Fabric and began certification preparation for Databricks Certified Data Engineer Associate and Microsoft Azure DP-700.

Annalect india

Data Engineer

Dec 2023 – Oct 2024 · 10 mos · Bengaluru, Karnataka, India · Hybrid

Modernized ACE Insurance’s data platform to support global insurance and reinsurance services for vehicles, homes, and assets. Centralized data in Azure to enable claims processing, customer care, and billing systems.
Tools Used: ADF, Databricks (PySpark), Delta Lake, ADLS Gen2, Azure SQL Data Warehouse
Biggest Achievement: Reduced data processing time by 40%, improving SLA compliance and accelerating claims resolution across 54 countries.

Azure Data FactoryAzure DatabricksPySparkMySQLMicrosoft Power BIData Engineering

Career break

Career transition

Jan 2023 – Nov 2023 · 10 mos · Andhra Pradesh, India

Took a career break to prepare for competitive government exams. Alongside exam preparation, stayed engaged in self-paced learning to stay aligned with industry standards. Focused on enhancing skills in Azure Data Engineering, including Databricks and I worked as Freelance Data Engineer for 3months.

Mindtree

Azure Data Engineer

Oct 2021 – Dec 2022 · 1 yr 2 mos · Bengaluru, Karnataka, India · Hybrid

Migrated and modernized Wells Fargo’s enterprise data warehouse to Azure to centralize financial, customer, and operational data for stock investment analytics, compliance, and internal reporting.
Tools Used: ADF, Databricks (PySpark), Delta Lake, ADLS Gen2, Azure SQL, Azure Key Vault, logic apps
Biggest Achievement: Improved data processing speed by 50%, automated pipeline workflows, and enabled secure, self-service BI for investment and reporting teams.

Microsoft SQL ServerPySparkAzure Data FactoryAzure DatabricksData Engineering

2u technology pvt ltd

Intern

May 2020 – Oct 2020 · 5 mos · Bengaluru, Karnataka, India · On-site

I had completed six months Internship has Junior Data Engineer Trainee

Data EngineeringPythonMicrosoft SQL ServerMicrosoft Azure

Creative engineers

Junior System Engineer

Apr 2020 – Oct 2021 · 1 yr 6 mos · Bangalore Urban, Karnataka, India · On-site

Worked on the production and assembly of automotive door latches, sliders, and seat recliner mechanisms used in car doors and seating systems. Designed and implemented SQL- and Python-based automation solutions to collect, process, and analyze production and quality data from assembly lines. Automated daily and monthly reporting workflows, enabling accurate tracking of manufacturing KPIs such as output, defects, downtime, and rejection rates. The solution reduced manual reporting efforts and supported data-driven decision-making for production and quality teams.
Tools Used: ADLS Gen2, SQL Server, SSIS, Python, Excel, Manufacturing System Data.
Biggest Achievement: Successfully automated production and quality reporting for automotive door latch, slider, and seat recliner assembly lines using SQL and Python, reducing manual Excel-based reporting by 40%, improving data accuracy, and enabling faster decision-making for production and quality teams.

Microsoft SQL ServerSQL Server Integration Services (SSIS)Microsoft ExcelPythonManufacturing Systems

Sahana enterprises limited

Graduate Engineering Trainee

Jan 2018 – Dec 2018 · 11 mos · Bengaluru, Karnataka, India · On-site

Final Year B.E. Project – Industrial Electrical Systems
Worked on real-time electrical systems in an industrial setting, focusing on data collection, diagnostics, and basic analysis. Contributed to small-scale process improvements and gained hands-on exposure to industrial workflows, safety protocols, and project execution under professional guidance.

MS OFFICESAP Business Warehouse (SAP BW)