Vaibhav Makkar

Data Engineer | Developing Innovative Data & AI-Driven Solutions

Role
Senior Data Engineer at Persistent Systems
Location
San Jose, CA, US
LinkedIn followers
500 followers
Information TechnologyView LinkedIn profile

About Vaibhav Makkar

10+ Years of Experience in Designing and Delivering Enterprise-Scale, Cloud-Native Data Intensive ApplicationsKey Strengths- Innovation Driver: Turning complex legacy systems into modern, scalable, and secure architectures that unlock real-time insights and enable data-driven decision-making at scale- Technical Expertise: Building high-throughput data pipelines, metadata-driven architectures, and governed analytics environments using Google Cloud, AWS, Apache Airflow(Cloud Composer), Kubernetes, Spark, BigQuery, and Looker- Full-Stack View: Implementing CI/CD for data workflows, defining enterprise data governance, observability, and lineage strategies. Current Achievements- Cloud Transformation Leader : Cutting costs by 30%, increasing data product delivery velocity by 40%, and improving compliance posture through policy-based data access, quality checks, and audit-ready pipelines What I Bring- Collaboration: Partnering with cross-functional stakeholders to align data initiatives with organizational goals, mentor engineering teams, and build platforms that scale with the business - Visionary Leadership: Contributing experience in data platform leadership, cloud architecture, and governance-first engineering to build next-generation data-enabled enterprises Let\'s Build the Future of Data-Enabled Enterprises Together

Experience

  1. Senior Data Engineer

    Persistent Systems

    Dec 2016 — Present · US

    Developed and implemented data architectures for data warehousing, data lakes, and data marts using GCP, AWS, and Azure- Collaborated with cross-functional teams to identify and prioritize data needs, ensuring data quality, security, and compliance- Mentored junior data engineers, providing guidance, training, and feedback to help them grow professionally- Improved data processing efficiency by optimization and caching techniques- Utilized Google Cloud AI Platform to design, develop, and deploy scalable machine learning pipelines for a sales predictive analytics project, leveraging Vertex AI, TensorFlow, and scikit-learn.

Education

  • Panipat Institute of Engg. & Technology

    Bachelor's degree

    2009 — 2013

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Vaibhav Makkar — Senior Data Engineer at Persistent Systems in San Jose, CA, US | Unifers