Bhaskar Pandey

About Bhaskar Pandey

Seasoned specialist in NoSQL, distributed, and vector database platforms, with deep expertise in Cassandra/DataStax, Milvus, and graph databases. Extensive experience low-latency architectures, cloud-native deployments, Kubernetes/EKS orchestration, and AI/ML-driven data solutions, including fraud detection and real-time decisioning systems. Proven track record in leading engineering teams, mentoring talent, and driving strategic initiatives to optimize performance, scalability, and cost efficiency across multi-cloud and EKS environments. Skilled at aligning technical solutions with business objectives and fostering high-performing, collaborative teams.Core Expertise-NoSQL & Distributed Data Engineering: • Cassandra/DataStax architecture, performance tuning, schema/query optimisation; administration & optimisation of Couchbase, ScyllaDB, Redis, TigerGraph, Neo4j, MongoDB & Milvus across cloud/hybrid/on-prem clusters with provisioning, scaling, HA/DR, migration & modernisation.Real-Time Analytics & Fraud Decisioning: • Designed and deployed fraud-detection, anomaly-detection, predictive and real-time scoring pipelines with full ML lifecycle (feature engineering, evaluation, monitoring & continuous optimisation).Cloud, Containers & Platform Engineering: • Multi-cloud (AWS, Azure, GCP, Ali Cloud) architecture with Kubernetes/EKS deployment, scaling & resilience; observability using CloudWatch, Prometheus & Grafana.Automation, DevOps & Infra Engineering: • Infrastructure automation with Ansible; CI/CD (Jenkins, GitHub) for database & ML workloads; advanced Linux, scripting, tuning & troubleshooting.Technical Leadership & Delivery Excellence: • Led distributed-systems and NoSQL/Cassandra engineering teams; owned technical roadmaps, platform standards & best-practices for mission-critical data platforms. • Directed large-scale database migrations, modernization & cloud adoption initiatives, driving performance, reliability & operational maturity. • Established governance for data modelling, consistency strategies, observability, incident response, and capacity planning across NoSQL ecosystems. • Enabled engineering capability growth through mentorship, knowledge sharing, internal training & innovation programs while championing Agile + DevOps practices.#Technical Certifications Cassandra – Admin & Developer & Architect ScyllaDB – Admin & Dev Neo4j Professional TigerGraph Cassandra on Kubernetes Kafka Fundamentals AWS – CP + SAA Azure Data Fundamentals Oracle Cloud Fundamentals Ericsson Cloud Agile Advocate

Experience

1. Database Sre Nosql & Distributed Systems

   Apple

   Aug 2021 — Present · Hyderabad, IN

   Spearhead the design and implementation of scalable, fault-tolerant NoSQL architectures across platforms including Apache * Cassandra, Datastax, Redis, and TigerGraph, tailored for high-throughput, low-latency workloads in distributed environments.* Engineer data pipelines and persistence layers to support real-time machine learning and AI workloads, integrating with big data ecosystems.* Develop and maintain automation workflows using Ansible, Shell scripting, and CI/CD tools (Jenkins, Git CI/CD) to streamline provisioning, deployment, and updates across hybrid cloud environments.* Optimize cloud infrastructure across AWS and Google Cloud Platform, utilizing advanced services like AWS Lambda, EKS, RDS, CloudFormation, GCP Cloud Functions,and Terraform for infrastructure as code (IaC).* Architect and operate Kubernetes clusters for container orchestration, leveraging Helm charts, Pod autoscaling, network policies, and RBAC to ensure secure, scalable, and resilient microservices deployments.* Apply advanced monitoring and observability practices using Prometheus, Grafana, and Splunk, implementing custom metrics, alerting rules, and dashboards for proactive system health management.* Lead initiatives in cost optimization and performance tuning, conducting right-sizing assessments, auto-scaling configurations, and workload balancing across cloud-native and on-premise environments.* Collaborate closely with data science and engineering teams to support end-to-end ML workflows, ensuring database models and infrastructure align with the needs of model training, inference, and data versioning.

Education

• Excellence School Jaisinghnagar

  12th, PCM

  2007 — 2008

• Shri Vaishnav Institute of Technology and Science

  Bachelor of Engineering (BE), Electronics & comm.

  2009 — 2013

• Excellence School Jaisinghnagar

  10th, PCM

  2005 — 2006