Data & AI Leadership at Enterprise Scale
Strategic Thinker · Big Data Architect · AI Enthusiast
Senior technology leader with 24+ years of experience across software engineering, big data platforms, and AI-driven systems. Specialized in building scalable, secure, and business-aligned data architectures for enterprise organizations.
About
I am a technology leader with a strong foundation in Computer Science and extensive experience in software development, big data engineering, and AI architecture. My career spans enterprise platforms, data-intensive systems, and cloud-native solutions across telecom, finance, healthcare, and public sector organizations.
I focus on translating business objectives into robust technical strategies, while building teams, standards, and platforms that scale.
Expertise
Data Architecture
Design and delivery of enterprise data platforms using modern architecture patterns, governance frameworks, and cloud-native services.
AI & Advanced Analytics
Implementation of AI strategies including RAG, multi-agent systems, semantic search, and intelligent document processing.
Big Data Engineering
Development of batch and real-time pipelines using Spark, Airflow, Kafka, Snowflake, and distributed systems at scale.
Technology Leadership
Engineering strategy, team leadership, mentoring, and alignment of technology with long-term business goals.
My Education & Work Experience
Education
BSCS
University Arid Agriculture — 1998 - 2002
Work Experience
Co Founder Bytalytics
Bytalytics — 2025– Present
Director of Software Engineering
SiParadigm — 2024–2025
Director Engineering / Big Data Architect
Confiz — 2022–2024
Senior Big Data Architect
NorthBay Solutions — 2022
Lead Big Data Engineer
S&P Global — 2019–2022
Founder & CTO
Vibrant Illusions — 2009–2017
Technology
Data & Analytics
Cloud Platforms
AI & Governance
Engineering
Selected Case Studies
Complex systems. High-stakes environments. Measurable outcomes. Over the years, I’ve led architectural transformations, rescued unstable data platforms, optimized cloud spend, and delivered high-performance analytics systems at enterprise scale.
575 QPS
High-performance Big Data REST APIs at enterprise scale
90% Faster Processing
4 TB transformed in 20 minutes using optimized ELT design
70% Fewer Failures
Data quality framework reducing pipeline outages
35% Cloud Cost Reduction
Infrastructure optimization through architectural redesign
From reverse-engineering undocumented legacy systems to implementing Data Mesh architectures and real-time CDC pipelines, my focus remains consistent: scalable design, measurable performance, and business-aligned engineering.