Garry Singh is a transformative and innovative IT leader with over a decade of extensive experience. I specialize in architecting and developing advanced, enterprise-scale, high-performance technology solutions. My expertise lies in creating scalable and robust data integration systems, business intelligence platforms, and cutting-edge machine learning systems, empowering organizations to harness data-driven insights for superior decision-making.


My Vision

To continually push technological boundaries, fostering innovation and excellence in the IT landscape, and driving organizational success through the strategic and thoughtful application of technology. My commitment is to lead with integrity, passion, and a relentless pursuit of excellence, creating value and making a meaningful impact in the technology space.


Areas of Expertise

  • Strategic IT Leadership: Leveraging a rich background in IT to drive the vision, strategy, and delivery of complex, high-value technology initiatives.
  • Advanced Data Analysis & Manipulation: Proficient in Python, utilizing libraries such as Pandas and NumPy, and PySpark for solutions in distributed computing environments, capable of processing billions of transactional records.
  • Machine Learning & AI: Advanced knowledge in implementing large-scale machine learning systems using TensorFlow and SciKit Learn, focusing on both supervised and unsupervised learning paradigms.
  • Microservices & API Development: Comprehensive experience in Java, developing scalable microservices architectures and RESTful APIs with enhanced logging, monitoring, and auditing using tools like Log4J & SLF4J.
  • Cloud Solutions & Scalability: Adept at designing and implementing scalable, data-centric solutions using Azure API Management, Azure Data Factory, AWS EC2, Google Cloud, ensuring robust, large-scale data querying and analytics.
  • Continuous Integration/Continuous Deployment: Proficient in managing robust CI/CD pipelines using Jenkins, Nexus, SonarQube, and Azure DevOps, integrated with Kubernetes for seamless deployment of containerized applications.
  • Data Governance & Management: Specializing in enterprise-scale ETL, data orchestration, and data pipelining projects, emphasizing data integrations, quality, and governance using IBM DataStage and Apache NIFI.
  • Real-Time Streaming & Processing: Experienced in leveraging Apache Kafka and Solace PubSub+ for low-latency data delivery and utilizing stream processing frameworks like Apache Flink and Apache Storm for real-time data transformations and analytics.