Sivakumar Mahalingam
Big Data EngineerAI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Senior AI, data & Cloud Architect driving the adoption of next-generation AI and data infrastructure at scale
Senior Data & Solutions Architect with 15 years of experience architecting enterprise-scale cloud, data, and AI ecosystems across government, healthcare, banking, telecom, and public-sector domains. Track record of collaborating with CTOs and national stakeholders to shape large-scale AI and data strategies. Currently leading multi-national AI adoption and deployments across 5+ countries in the Middle East. Expertise in building production-grade AI and cloud platforms including modern data lakehouse architectures, real-time streaming systems, and LLM-based AI capabilities into traditionally fragmented enterprise environments. Recognised as a thought leader in trustworthy AI and enterprise AI adoption, with ability to design scalable AI solutions that address industry-wide challenges in data processing, risk assessment, and decision-making. Independent developer and maintainer of widely referenced and cited open-source innovations and global codebases. My leadership combines deep technical architecture, IP-focused product thinking, and execution, enabling global organisations to operationalise AI responsibly while strengthening governance, scalability, and long-term business value.
Birla Institute of Technology and Science, Pilani
Master of Technology, Software Systems specialization in Software Engineering
N/A – Present
Anna University
Bachelor of Engineering, Computer Science and Engineering
N/A – Present
Presight.ai
Senior Data & Solution Architect
August 1, 2022 – Present
Abu Dhabi Emirate, United Arab Emirates
Change Healthcare
Lead Data Engineer/Solution Architect
November 1, 2021 – July 1, 2022
Chennai, Tamil Nadu, India
Infosys
Technology Architect - Cloud & Big Data
June 1, 2021 – November 1, 2021
Chennai, Tamil Nadu, India
Accenture
Data Engineering Technical Lead
April 1, 2019 – June 1, 2021
Greater Chennai Area
Cognizant Technology Solutions
Associate - Data Engineering
December 1, 2015 – April 1, 2019
Greater Chennai Area
Tata Consultancy Services
IT Analyst
October 1, 2011 – December 1, 2015
Greater Chennai Area
TOGAF® 10 Certification
The Open Group
June 25, 2026 – Present
Data Architect Certification
MIT Professional Education
June 25, 2026 – Present
AWS Certified Solutions Architect - Professional
Amazon Web Services (AWS)
June 25, 2026 – Present
Banking Products and Services
Corporate Finance Institute® (CFI)
June 25, 2026 – Present
Microsoft Certified: Azure Solutions Architect Expert
Microsoft
June 25, 2026 – Present
AWS Certified Solutions Architect – Associate
Amazon Web Services (AWS)
June 25, 2026 – Present
Lean Six Sigma Green Belt
Tata Consultancy Services
June 25, 2026 – Present
Databricks Lakehouse Fundamentals
Databricks
June 25, 2026 – Present
Microsoft Certified: Azure Fundamentals
Microsoft
June 25, 2026 – Present
SQL
Stanford University
June 25, 2026 – Present
AWS Certified Developer - Associate
Amazon Web Services (AWS)
June 25, 2026 – Present
Healthcare Management: An Introduction (AHM 250)
AHIP
June 25, 2026 – Present
Cultural Fit Analysis
The candidate has worked across various companies (Presight.ai, Change Healthcare, Infosys, Accenture, Cognizant, TCS) and industries (healthcare, insurance), demonstrating adaptability and exposure to diverse organizational cultures. Their involvement in defining technical roadmaps and contributing to data architecture transformation aligns well with a proactive and growth-oriented culture. The breadth of skills and certifications also indicates a continuous learning mindset.
Soft Skills & Operational Fit
The candidate's experience descriptions highlight strong leadership, stakeholder management, and mentoring skills. They have a history of coordinating cross-functional teams, presenting to senior leadership, and driving technical roadmaps, indicating a good operational fit for senior roles requiring collaboration and strategic input.