My Resume
Hi, I'm Kunal Pathak.
I am a technology leader specializing in data platforms, AI engineering, and cloud architecture.
With over 15 years of experience across startups and global enterprises, I have a proven track record of delivering transformative technology solutions that drive business growth and operational excellence.

My Expertise
- Engineering Leadership: Building high-performing teams, defining tech strategy, and leading enterprise transformation.
- Data & AI Platforms: Designing scalable architectures and operational frameworks for data-driven innovation.
- Cloud & DevOps: Architecting secure, compliant multi-cloud environments with automated delivery practices.
- Applied AI: Developing production AI applications, including generative AI, agentic systems, and developer tooling.
Skills & Certifications
Skills
| Area | Focus Areas |
|---|---|
| Technology Strategy & Leadership | Vision execution; business alignment; innovation roadmaps |
| AI Platform & Product Strategy | Scalable AI & data platforms; product lifecycle; platform adoption |
| Engineering Excellence & Culture | High-performance teams; hiring, mentoring & enablement; quality practices |
| Enterprise Transformation | Legacy modernization; business-aligned architecture evolution |
| Cloud Native & DevOps Leadership | Multi-cloud strategy; IaC; CI/CD; FinOps |
| Cybersecurity & Data Governance | Risk management; privacy & GDPR; policy & control frameworks |
| Area | Focus Areas |
|---|---|
| Programming Languages | Python, Java, C; web APIs & integration |
| Cloud & DevOps | GCP, Azure, AWS; Kubernetes, Docker; CI/CD; Git; IaC |
| Data & AI Engineering | Databricks (Delta Lake); Spark; Kafka; Airflow; dbt; MLOps tooling |
| Data Governance & Catalog | Unity Catalog, Atlan, Collibra; lineage & metadata; RBAC/ABAC; glossary automation |
| Automation & Orchestration | Event & workflow automation; GitOps; policy-as-code |
| Applied AI | Agentic systems; context-aware retrieval; operational AI lifecycle |
| Area | Focus Areas |
|---|---|
| Lakehouse Architecture | Databricks (Delta Lake); medallion model (bronze / silver / gold) |
| Pipeline Orchestration | Batch & streaming ETL/ELT (Spark Structured Streaming, Autoloader, Airflow) |
| Access & Security | Fine-grained access (Unity Catalog); masking; token governance; GDPR alignment |
| Metadata & Catalog | Atlan & Collibra lineage, glossary & stewardship workflows |
| Data Quality & Reliability | Great Expectations; Soda; Monte Carlo; dbt tests; expectations & SLA monitors |
| Governance Automation | Tag-based ACLs; policy-as-code; automated lineage harvesting; glossary curation |
Certifications







Professional Experience
MB Energy
Head of Data and AI (September 2025 - Present)
- Execute enterprise data and AI strategy on Azure/Databricks, unifying fragmented initiatives into a platform driving digital growth.
- Establish standardized platform architecture and delivery frameworks, accelerating time-to-market for data products.
- Direct production AI capabilities, including GenAI applications and agentic systems, with enterprise-grade security.
- Implement automated governance ensuring EU AI Act and GDPR compliance through policy-as-code.
- Oversee multi-million budget and cross-functional strategy, positioning AI as a foundational engine for transformation.
SwitchUp
Chief Technology Officer (CTO) (May 2025 - August 2025)
- Defined platform & AI architecture for next‑generation energy tariff optimization product and execution roadmap
- Built and mentored a cross‑functional engineering team; instituted lightweight governance & delivery cadences
- Partnered with executive leadership translating business objectives into sequenced platform capabilities
Vodafone Germany
Manager - AI/ML Platform Development (2018 - May 2025)
- Deployed enterprise AI assistants and knowledge-grounded chatbots, improving support responsiveness.
- Engineered scalable Spark/Airflow/Databricks pipelines, accelerating model experimentation and delivery.
- Provisioned secure multi-cloud (GCP, Azure, AWS) environments with standardized landing zones and guardrails.
- Built an automated data transformation platform using Python and Kubernetes, reducing operational toil.
- Modernized legacy BI stacks and established data governance standards (catalog, lineage, RBAC).
- Scaled global engineering capabilities through hiring, vendor management, and process optimization.
Vodafone India & UK
Technology Lead / Service Transition (2014 - 2018)
- Insourced application maintenance (e.g., TIBCO EMS) improving defect turnaround and reducing external spend
- Built and transitioned a new internal support team; managed vendor offboarding & knowledge transfer
- Advanced incident & change practices reducing recurring incidents and stabilizing core platforms
- Recruited and trained cross-functional talent enabling sustainable internal ownership
- Embedded ITIL-aligned change management processes
IBM India
Multiple Roles - QA & Engineering Support (2010 - 2014)
- Built an internal ticket management tool (Joomla, PHP, JS) improving workflow efficiency
- Supported AWS-hosted application stacks (EC2, S3, RDS) ensuring availability & performance
- Led QA planning & requirement analysis for telecom modernization (COBOL, DB2, Java, Oracle)
Synygy India
Quality Assurance Engineer (2007 - 2010)
- Performed functional & workflow testing for sales compensation applications (JSF, Spring)
- Developed automation assets (HP QTP) including harnesses, stubs & drivers to expand regression coverage