Pranitha Nekkanti

Software Engineer

Redmond, Washington, United States2 yrs 2 mos experience

AI EnabledAI ML Practitioner

Key Highlights

Expert in building scalable data-driven systems.
Proficient in AI integration for business insights.
Experienced in cloud migration and automation.

Stackforce AI infers this person is a Data Engineer with expertise in SaaS and consulting industries.

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Skills

Core Skills

Full-stack DevelopmentCloud-based Data EngineeringData EngineeringAi IntegrationDigital TransformationAutomation

Other Skills

ReactFastAPIAWSPython (Programming Language)Data ArchitectsOpenAI GPTVertex AILangChainAWS LambdaRedshiftBigQueryData VisualizationDatabasesAzure Data FactorySQL

About

I’m a Software and Data Engineer passionate about building intelligent, data-driven systems that scale. Over the past few years, I’ve designed and deployed full-stack and data solutions across AI, retail, and enterprise automation, blending my background in software development, data engineering, and cloud architecture. At DriverAI, I helped develop end-to-end retail analytics platforms using React, FastAPI, and AWS, translating raw data into real-time business insights. At GoTackle, I built event-driven data workflows and AI-powered insight engines that improved how small businesses track and act on their data. Earlier at PwC, I delivered both cloud-based data migration projects and RPA automation systems that streamlined HR and finance analytics across multiple regions. My technical toolkit spans Python, SQL, JavaScript, React, Node.js, FastAPI, Azure, AWS, Databricks, Kafka, Airflow, and dbt, backed by certifications including Azure Developer Associate, AWS Solutions Architect, and UiPath Advanced RPA Developer. What drives me is the balance between data reliability, product usability, and system performance, making sure the solutions I build are not only powerful but purposeful. Always open to connecting with engineers, builders, and innovators who love creating meaningful technology.

Experience

2 yrs 2 mos

Total Experience

11 mos

Average Tenure

4 mos

Current Experience

Microsoft

Software Engineer

Jan 2026 – Present · 4 mos · Redmond, Washington, United States · On-site

Building and scaling services that support Microsoft’s global partner and marketplace ecosystem, enabling developers and businesses to publish, manage, and grow solutions on Microsoft platforms.

Driverai, llc

Software Engineer

May 2025 – Dec 2025 · 7 mos · Peoria, Arizona, United States · Hybrid

ReactFastAPIAWSFull-Stack DevelopmentCloud-Based Data Engineering

Gotackle (powered by gologic)

Senior Data Engineer

Feb 2025 – Sep 2025 · 7 mos · Tempe, Arizona, United States · Remote

Role: Senior Data Engineer | Software Engineer
GoTackle helps small businesses thrive by providing AI-powered insights across finance, HR, and operations. I worked on architecting data systems, backend services, and AI integrations that power its intelligent business platform.
Key Highlights:
Designed and implemented serverless data pipelines using AWS Lambda, Redshift, and BigQuery to process high-volume business data in real time.
Developed and deployed GraphQL APIs via AWS AppSync and Node.js for internal and external platform integrations.
Built AI-powered business insight engines using OpenAI GPT, Vertex AI, and LangChain to generate automated recommendations and reports.
Automated data transformations using dbt and Airflow, ensuring timely and reliable analytics for 10,000+ SMB users.
Engineered event-driven workflows with AWS EventBridge and DynamoDB, improving system scalability and reliability.
Collaborated with cross-functional teams to integrate AI-driven insights into user dashboards, enhancing platform intelligence and usability.

Python (Programming Language)Data ArchitectsData EngineeringAI Integration

Pwc india

Digital Transformation & Analytics Division

Aug 2021 – Nov 2022 · 1 yr 3 mos · Bengaluru, Karnataka, India · Hybrid

Project 1: Data Engineer — Data Integration & Cloud Migration
Contributed to PwC’s enterprise data modernization program, migrating HR and finance workflows to Azure cloud using modern data engineering frameworks.
Key Highlights:
Built and orchestrated ETL pipelines using Azure Data Factory, SQL, and Python to process 500+ GB of HR and finance data across 12 business units.
Developed data ingestion and transformation logic in ADF and Databricks, improving reporting latency by 35%.
Implemented real-time data streaming with Apache Kafka and Azure Event Hubs for finance dashboards.
Designed Tableau and Power BI reports visualizing workforce and financial KPIs, improving decision speed by 15%.
Automated validation scripts using PySpark and SQL to ensure data integrity and quality during cloud migration.
Documented deployment processes and created internal playbooks to standardize Azure data pipeline delivery.
Project 2: Software Engineer — RPA-Based HR Analytics Automation
Developed automation systems to streamline HR analytics operations, integrating .NET, SQL, and UiPath-based components to reduce manual workload across departments.
Key Highlights:
Built C#/.NET automation tools to process HR data and generate payroll, onboarding, and resume reports.
Designed Excel-to-XML data pipelines integrated with SQL Server, reducing data entry errors by 98%.
Created RESTful APIs for internal HR dashboards, improving data visibility and accuracy.
Developed UiPath-based RPA triggers and job schedulers automating finance and HR workflows end to end.
Refactored legacy WinForms modules and backend SQL logic, improving performance by 40%.
Standardized documentation and code practices for HR automation projects across PwC’s internal teams.