I architect and build horizontally scalable cloud solutions handling Exabytes of data. My passion lies in tackling complex Big Data challenges and driving innovation, thriving in environments where I can leverage cutting-edge technology to solve impactful, real-world problems.
At a glance
Curated signals on strengths, focus areas, and how they can help.
Served as Principal Engineer at Yahoo!, leading complex Big Data and cloud initiatives.
Currently driving engineering excellence at Google, architecting large-scale cloud data solutions.
Can help architect robust, scalable cloud-native solutions for complex data challenges.
🚀 Career trajectory
Foundational Development
Began career as a Software Developer at CGI, building foundational software engineering skills.
✦ Software Development
✦ CGI
Senior Engineering Growth
Advanced to Sr. Software Engineer at Glassdoor.com, focusing on critical application components.
✦ Sr. Software Engineer
✦ Glassdoor.com
Principal-Level Expertise
Served as Principal Engineer at Yahoo!, leading complex Big Data and cloud initiatives.
✦ Principal Engineer
✦ Yahoo!
Current Innovation
Driving engineering excellence at Google, architecting large-scale cloud data solutions.
✦ Engineering
✦ Big Data
✦ Cloud
💪🏻 Superpowers
Exabyte-Scale Data Architect
Mastering the design and implementation of massive data infrastructure.
✦ Architected solutions for Exabytes of data in cloud environments.
✦ Expert in building horizontally scalable data processing systems.
✦ Proficient with Hadoop ecosystem (HDFS, MapReduce, Hive, Pig, HBase).
Cloud-Native Application Developer
Building robust applications on distributed cloud platforms.
✦ Specializing in Java-based application development.
✦ Experienced with distributed caching and NoSQL databases.
✦ Skilled in designing and deploying RESTful services.
Real-Time Big Data Specialist
Enabling insights from high-velocity data streams.
✦ Implementing real-time analytics with Kafka, Storm, and Druid.
✦ Extensive experience in web-crawling and data ingestion pipelines.
✦ Leveraging technologies for efficient data stream processing.
I'm excited about
✦ Exploring cutting-edge distributed systems and data processing paradigms.
✦ Connecting with innovators in large-scale cloud infrastructure.
✦ Discovering opportunities to mentor emerging talent in data engineering.
I can help with
✦ Architecting robust, scalable cloud-native solutions for complex data challenges.
✦ Guiding teams on best practices for Big Data analytics and real-time processing.
✦ Sharing insights on building efficient web-crawling and data ingestion systems.
I would love your help on
✦ Identifying emerging startups with unique approaches to data challenges.
✦ Connecting with leaders in AI/ML infrastructure for potential collaboration.
✦ Finding opportunities to contribute to open-source Big Data projects.