Govind Gupta

DevOps Engineer

India12 yrs experience

Highly Stable

Key Highlights

Over 12 years of experience in BFSI and automobile sectors.
Expert in delivering data solutions aligned with business objectives.
Proven leadership in data engineering and project management.

Stackforce AI infers this person is a Data Engineering Leader in the Fintech sector with a strong focus on cloud solutions.

Contact

Skills

Core Skills

Data Engineering LeadershipAzure Data ServicesProject ManagementData EngineeringDatabase Management

Other Skills

AWSAccount ManagementAmazon EC2Amazon Web Services (AWS)AzureAzure Data FactoryAzure Data LakeAzure DatabricksAzure DevOpsAzure Key VaultAzure Logic AppsBig DataBusiness AlignmentClient RelationsData Analytics

About

With over 12 years of experience in the BFSI and automobile sectors, I have a proven track record of delivering data solutions that align with business objectives and drive growth. My core competencies include data management, integration, and governance, as well as cloud-based architecture and ETL processes. I leverage Azure data services to optimize costs, modernize legacy systems, and create scalable, efficient, and cost-effective solutions on Azure cloud platforms. I also lead and mentor a team of data engineers, fostering a culture of innovation and collaboration. My mission is to empower organizations to harness the full potential of their data and make data-driven decisions that propel success. My Core Expertise: - Data Engineering Leadership: Guiding teams to success and driving projects forward. - Azure Data Services: Leveraging Azure's powerful tools for optimal data solutions. - ETL Optimization: Making sure data moves efficiently and accurately. - Data Modeling: Designing structures that make information easy to access and understand. - Database Management: Ensuring databases are well-organized, secure, and performant. - Business Alignment: Aligning data strategies with the broader goals of the organization.

Experience

Nagarro

Associate Principal Engineer - Data & AI

Feb 2023 – Present · 3 yrs 1 mo · Jaipur, Rajasthan, India

Currently driving the design and delivery of a next-gen Data & AI platform for a global financial client, combining best data engineering practices with AI to maximize business value and productivity.
Architected and implemented the full cloud data ecosystem on Microsoft Azure (Data Lake, Synapse Analytics, Data Factory).
Designed & developed scalable ETL pipelines integrating data from diverse cloud and on-premises sources, enhanced with AI for automation and anomaly detection from scratch.
Built enterprise data models powering BI dashboards, regulatory reports, and advanced AI/ML use cases (forecasting, risk scoring, intelligent insights).
Defined and enforced data governance, security, and compliance standards in line with financial regulations.
Established CI/CD pipelines with Azure DevOps to automate deployments and ensure reliability.
Partnered with data scientists, engineers, and business stakeholders to align technical solutions with business outcomes.
Led end-to-end delivery, planning, designing, building, and deploying critical data & analytics components.
Managed timelines and execution, ensuring smooth delivery across all project phases.
Apart from this I am working on pre sales - RFP Solutioning and accelerator building which can be used to streamline the data challenges.

Data Engineering LeadershipAzure Data ServicesETL OptimizationData ModelingDatabase ManagementBusiness Alignment

Atcs inc.

4 roles

Head - Data Engineering | Delivery & Project Management

Promoted

Mar 2021 – Feb 2023 · 1 yr 11 mos

Mentored and led 20+ data engineers while managing multiple accounts with 25+ team members.
Built the Data CoE from the ground up, establishing best practices and scalable delivery models.
Drove end-to-end project execution – from requirement gathering and RFP preparation to architecting data solutions.
Led critical technical discussions and designed overall solution architectures to align with business goals.
Owned project delivery including budgeting, P&L reporting, and presenting key metrics to C-level executives.
Proactively tracked milestones, resolved client pain points, and ensured smooth execution of large-scale projects.
Fostered strong on-site client relationships, ensuring satisfaction and long-term success.
Delivered high-impact data solutions that generated measurable business value.

Data Engineering LeadershipDelivery ManagementProject ManagementClient Relations