Blended Post Graduate Programme in Management (BPGP)




Madhav Kumar Jha

A seasoned IT professional with eight-plus years of hands-on experience in software development, data engineering, and data architecture. Passionate about data life cycle management and possessing a keen eye for innovation. Specializes in data engineering, designing, building, and maintaining robust data pipelines for both batch processing and real-time streaming. Expertise lies in architecting scalable, cost-effective big data solutions, both on-premises and in the cloud. Combines technical prowess with a deep understanding of business requirements and a passion for creating and delivering data-driven solutions, enabling him to stay at the forefront of the technology industry.

Education
Bachelor of Technology (B.Tech)
MBA-BPGP, IIM Ahmedabad
Work Experience
  • Senior Data Engineer at ANZ Operations and Technology (2021 – Present): Responsible for designing, developing, and maintaining data pipelines, ensuring data quality, and supporting data-driven initiatives within the organization.
  • Data Engineering Specialist at Accenture (2019 – 2021): Worked as a consultant - Data engineer with a focus on the banking and pharmaceutical domains. Collaborated with clients to design and implement data solutions, optimize data workflows, and enhance data analytics capabilities.
  • Consultant at Xebia IT Architects (2018 – 2019): Gained experience as a consultant (Big data) in the retail industry. Addressed retail-specific data challenges by building data pipelines, data warehouses, and data lakes.
  • Software Engineer at NCR Corporation (2015 – 2017): Started the career as a software engineer and worked on remote service management and monitoring solutions.
Nature of Work
Working as a successful data engineering professional, responsible for designing, building, and maintaining data pipelines. These pipelines extract, transform, and load data from various sources into a data warehouse or data lake. Additionally, contributes significantly to data architecture by designing the overall structure of data systems, selecting databases, defining schemas, and organizing data for optimal performance. Also involved in designing and maintaining the data warehouse schema, optimizing queries, and ensuring data consistency to support business intelligence, analytics, and decision-making. Extensively collaborates with data engineers, data scientists, analysts, and other stakeholders to gather business requirements and deliver business value.

Profile