Sainadh V — CEO

Data Engineering Sub Competency Leader | Manager : Data Engineering | Tech Lead Azure | Databricks | AI | Big Data | Cloud Architecture | Claude I am a proactive AI advocate in the data space - a global-minded professional who believes technology scales best when leadership remains human-first. I lead with values, mutual respect, and a strong eye for identifying and nurturing exceptional talent. I build and lead high-performing Data & AI engineering teams that design scalable, resilient, and future-ready data platforms. My focus is simple: turn raw data into strategic advantage. With deep expertise in Azure, Databricks, SQL, and modern Big Data ecosystems, I architect end-to-end solutions — from ingestion to transformation to intelligent consumption — enabling organizations to operate with clarity and speed. 🔹 Cloud & Data Architecture – Designing and optimizing Azure-native data platforms for scale, governance, and performance. 🔹 Databricks & Big Data – Leveraging Apache Spark and Delta Lake to power advanced analytics, real-time processing, and enterprise-grade transformations. 🔹 AI-Augmented Engineering – Integrating AI coding agents into development workflows to accelerate delivery, enhance code quality, and elevate engineering standards. I believe the future engineer is not just a coder, but a director of intelligent systems. My teams collaborate with AI to build production-ready applications faster — while maintaining architectural integrity and technical excellence. 🔹 Technical Leadership – Leading from the front in architecture decisions, system design, and complex problem-solving. 🔹 Execution & Ownership – Balancing speed with precision to deliver measurable business impact. 🔹 Talent Development & Strategy – Building strong engineering cultures rooted in mentorship, accountability, and continuous growth. From ETL pipelines to modern data lakes, real-time analytics, and AI-driven architectures — I thrive on solving complex data challenges at scale. Beyond technology, I am committed to developing leaders who can think globally, act responsibly, and build systems that matter. Let’s connect and build the future of Data & AI.

Stackforce AI infers this person is a Data Engineering Leader specializing in AI and Cloud Architecture for enterprise solutions.

Location: Hyderabad, Telangana, India

Experience: 10 yrs 9 mos

Skills

Data Engineering
Leadership
Big Data
Cloud Architecture

Career Highlights

Expert in designing scalable data platforms.
Proven track record in leading high-performing teams.
Strong advocate for AI integration in engineering.

Work Experience

Lingaro

Data Engineering Sub-Competency Leader (3 mos)

Data Engineering Team Leader | Associate Manager (2 yrs 1 mo)

Lead Consultant (1 yr 9 mos)

Tech Mahindra

Senior Azure Data Engineer (1 yr 9 mos)

Tata Consultancy Services

Azure Data Engineer | Tech Lead (1 yr 1 mo)

Optum

Full Stack Engineer (1 yr 11 mos)

UnitedHealth Group

Full Stack Engineer (1 yr 11 mos)

Education

Computer Science at Jawaharlal Nehru Technological University

Sainadh V

CEO

Hyderabad, Telangana, India10 yrs 9 mos experience

Most Likely To SwitchAI Enabled

Key Highlights

Expert in designing scalable data platforms.
Proven track record in leading high-performing teams.
Strong advocate for AI integration in engineering.

Stackforce AI infers this person is a Data Engineering Leader specializing in AI and Cloud Architecture for enterprise solutions.

Contact

Skills

Core Skills

Data EngineeringLeadershipBig DataCloud Architecture

Other Skills

Apache SparkAzure DatabricksAI IntegrationAzure Data FactoryAzure Data LakeData ProcessingPipeline OptimizationDatabricksETL FrameworksModel Context Protocol (MCP)Artificial Intelligence (AI)Python (Programming Language)Anthropic ClaudeGitHub CopilotMicrosoft Fabric

About

Experience

10 yrs 9 mos

Total Experience

2 yrs 1 mo

Average Tenure

4 yrs 1 mo

Current Experience

Lingaro

3 roles

Data Engineering Sub-Competency Leader

Promoted

Feb 2026 – Present · 3 mos · Remote

Data EngineeringLeadership

Data Engineering Team Leader | Associate Manager

Promoted

Jan 2024 – Feb 2026 · 2 yrs 1 mo · Remote

In my current role, I’ve had the opportunity to work with some of the world’s largest organizations across retail, consumer goods, and pharma. The scale and complexity of these projects meant that every decision we made in data engineering had a direct impact on real customers and business outcomes.
Acted as a key player in end-to-end data initiatives, from designing pipelines to ensuring reliable delivery of insights.
Excelled in customer focus—working closely with business stakeholders to make sure what we built actually solved their problems, not just looked good on paper.
Mentored engineers within the team, helping them grow while also raising the bar for the quality of solutions delivered.
Enjoyed leading and collaborating with highly talented, excellence-driven data engineers—working as a team has always been one of the most fulfilling parts of my role.
Consistently focused on bringing out value where it truly mattered, whether that was optimizing cost, improving performance, or enabling faster decision-making for clients.
Adapted quickly to evolving technologies and integrated AI-driven improvements into existing systems—using AI to redesign data flows, enhance data quality, automate repetitive tasks, and reduce both cost and delivery time while future-proofing key data platforms.

Apache SparkAzure DatabricksData EngineeringBig Data

Lead Consultant

Mar 2022 – Dec 2023 · 1 yr 9 mos · Remote

Azure Data FactoryAzure Data LakeData EngineeringCloud Architecture

Tech mahindra

Senior Azure Data Engineer

Jun 2020 – Mar 2022 · 1 yr 9 mos

Worked with some of the brightest minds in pharma where data isn’t just numbers, but something that can actually save lives. My role was about helping the company get real value out of its data while also building and guiding a strong team of engineers along the way.
Focused on making our pipelines faster and more reliable, cutting down hours of processing into minutes.
Found ways to optimize costs and performance by rethinking how we moved and stored data.
Partnered with scientists and analysts to make research and trial data easier to use, which meant decisions could happen sooner.

Tata consultancy services

Azure Data Engineer | Tech Lead

Apr 2019 – May 2020 · 1 yr 1 mo · Hyderabad, Telangana, India

Led end-to-end data initiatives and large-scale application migration efforts to Microsoft Azure, delivering highly reliable, scalable, and efficient solutions for a major telecom client. With deep hands-on expertise across modern data platforms, cloud services, and migration frameworks, I consistently executed complex technical programs with precision, speed, and measurable business impact.
Key Responsibilities & Achievements:
Architected and implemented Migration for Onprem Web application and developed robust data pipelines using Azure Data Factory, Databricks to support batch processing needs.
Designed highly optimized data models and ETL frameworks that improved data quality, throughput, and cross-platform availability.
Led the migration of legacy on-premise applications and data assets to Azure, ensuring zero data loss, minimal downtime, and full compliance with enterprise security standards.
Collaborated with cross-functional teams—cloud architects, business stakeholders, data governance, and operations—to ensure smooth deployment and seamless integration across systems.
Delivered continuous performance optimization, reducing cloud operational costs while improving system efficiency and reliability.
Provided technical leadership, mentoring junior engineers, reviewing solution designs, and driving engineering best practices.