Nitish Kumar Email & Phone Number

Gurugram, Hr, In

Gurugram, Haryana, India

Bangalore Urban, Karnataka, India

• Delivering High-Impact Data Solutions - Twelve years of extensive experience in Analysis, Design, Development, and Implementation of On-prem and Cloud Solutions for Energy, Retail, Insurance, Banking, and Life Science clients. This includes expertise in Data Lake, Data Warehousing, Data Integration, Data Lineage, Data Reconciliation, Big Data and Platform Modernization solutions.• Data Architecture and Design - Extensive experience in designing and developing data modelling, data architecture principles, design patterns, best practices, data pipelines, reference architecture, and data solutions. Collaborate with stakeholders to gather requirements and design scalable and robust data solutions.• Leadership and Team Management - Provide strong leadership and guidance to a team of data engineers, overseeing their professional development, performance, and project assignments.• Strategic Planning - Contribute to the development of data engineering strategies, roadmaps, and initiatives aligned with organizational goals and objectives. Provide insights and recommendations based on extensive experience in the field.• Project Management - Proven track record in managing and delivering small to large-scale engagements. Plan, execute, and deliver data engineering projects, ensuring adherence to timelines, budgets, and quality standards. Skilled in performing managerial tasks such as developing product roadmaps, coordinating planning and staffing efforts, providing weekly reporting to steering committees, coordinating delivery efforts, and ensuring follow-ups across stakeholders and workstreams.• Cross-functional Collaboration - Collaborate closely with cross-functional teams such as data scientists, analysts, and business stakeholders to understand their data needs, provide data solutions, and support their data-driven initiatives.• Stakeholder Communication - Communicate effectively with senior management, executives, and other stakeholders to provide updates.

Bengaluru Area, India

• Lead and manage a team of data engineers, providing guidance, mentorship, and support to ensure efficient and effective project execution.• Collaborate with stakeholders to understand business requirements, define project scope, and create data engineering plans. Manage the execution of projects, ensuring timely delivery and adherence to quality standards.• Oversee the design, development, and maintenance of data pipelines and ETL processes to efficiently extract, transform, and load data from various sources into target systems.• Define and implement data architecture principles, guidelines, and best practices to ensure scalability, reliability, and performance of data systems.• Collaborate with external vendors, partners, and stakeholders to assess and manage dependencies.• Foster effective collaboration and communication across teams and stakeholders, including data scientists, analysts, business users, and IT teams. Ensure clear understanding of requirements and expectations.• Identify and mitigate risks associated with data engineering projects, data security, and data quality. Effectively manage project resources, risks, and dependencies.• Proficiency in sales activities, including RFP responses, estimation models, pricing, and practice development.

Bengaluru Area, India

• Take on the role of Technical Lead in the design and development of a supply chain management product, focusing on enhancing visibility and providing valuable insights into ongoing supply chain operations.• Analyze business requirements and functional specifications to understand the project's objectives.• Prepare technical design documents (High-Level Design and Low-Level Design) and specifications for data extraction, transformation, and loading processes.• Determine and implement the optimal ETL load strategy to ensure efficient data processing.• Develop data quality and data cleansing procedures to maintain the integrity of the data.• Analyze data sources, transform the data, and map it to meet the business requirements before loading it into the data warehouse.• Perform performance tuning activities to optimize data extraction, data processing, and load times.• Develop ETL jobs using Informatica Power Centre to implement the defined business requirements.• Write stored procedures to handle updates and deletions of data in the required tables.• Conduct unit testing at various stages of the ETL process and actively participate in team code reviews to ensure code quality and adherence to standards.

Bengaluru, Karnataka, India

• Design and develop ETL solutions using Informatica PowerCenter or Informatica Cloud. Create mappings, workflows, and sessions to extract, transform, and load data from various sources into target systems.• Implement data integration processes, including data extraction, data transformation, and data loading. Perform data mapping and define business rules to ensure accurate and efficient data integration.• Implement data quality checks, validation rules, and data cleansing procedures to ensure data accuracy, consistency, and integrity. Identify and resolve data quality issues and discrepancies.• Analyze and optimize the performance of ETL processes, mappings, and workflows.• Create and maintain technical documentation, including design specifications, mapping documents, and process flow diagrams. Ensure documentation is accurate, up-to-date, and easily understandable by team members and stakeholders.• Collaborate with cross-functional teams, including business analysts, data modelers, and database administrators, to understand requirements and develop effective ETL solutions. Provide technical guidance and support to junior developers.• Identify and troubleshoot ETL-related issues, system errors, and data discrepancies. Provide timely resolution and ensure smooth data flow throughout the ETL process.• Stay updated with the latest Informatica features, enhancements, and best practices. Identify opportunities for process improvements, automation, and optimization. Proactively suggest and implement solutions to enhance ETL performance and reliability.• Conduct unit testing, integration testing, and performance testing of ETL processes and mappings. Validate data accuracy and completeness through data profiling and data validation techniques.• Prepare deployment packages and release documentation for ETL solutions. Coordinate with stakeholders for smooth deployment and post-deployment validation.