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Big data engineer with over 5 years of experience in Spark and AWS, focusing on optimizing data pipelines for AML compliance. Demonstrated ability to enhance performance and accuracy through effective data transformation and collaboration across teams. Strong analytical and problem-solving skills contribute to increased efficiency and high-quality datasets for analytics and compliance reporting. Experienced in designing and managing large-scale distributed data processing systems, consistently delivering solutions that improve performance and reliability.

Adept Senior Lead Big Data Engineer with a proven track record at Airtel X Labs, specializing in performance scalability and designing robust architectures. Leveraged Scala and Spark to revolutionize real-time network outage alerts, enhancing customer experience. Skilled in Kafka and Apache NiFi, demonstrating exceptional problem-solving and leadership in migrating and optimizing data systems.


  Detail-oriented Data Engineer designs, develops and maintains highly scalable, secure and reliable data structures. Accustomed to working closely with system architects, software architects and design analysts to understand business or industry requirements to develop comprehensive data models. Proficient at developing database architectural strategies at the modeling, design and implementation stages.
  Organized and dependable candidate successful at managing multiple priorities with a positive attitude. Willingness to take on added responsibilities to meet team goals.
  Detail-oriented team player with strong organizational skills. Ability to handle multiple projects simultaneously with a high degree of accuracy.


Platform engineer with full end-to-end responsibility for enterprise-scale, multi-petabyte Hadoop ecosystems (Cloudera CDP Private/Public Cloud, CDH, HDP, AWS EMR, Databricks) in on-premise and cloud environments (AWS, Azure, Comcast CCP). Proven cluster-level expertise in performance engineering, Linux kernel optimization, security governance, high availability, disaster recovery, and large-scale automation using Ansible, Chef, Terraform, Bash, and Infrastructure-as-Code. Expert in Cloudera Manager, Cloudera Data Hub (CDH), and CDP deployments with deep hands-on experience in SDX (Shared Data Experience), Ranger, Atlas, and Ozone administration Owned and operated multiple petabyte-scale production clusters (HDFS, Ozone, YARN, Hive, Spark, HBase, Zookeeper) on Cloudera CDP/CDH, Hortonworks HDP, AWS EMR, and Databricks Led full-lifecycle Ozone deployments including installation, upgrades, Ratis HA configuration, multi-tenant Organizations/Volumes/Buckets with quotas, and Ranger fine-grained ACLs Optimized cluster performance through Linux kernel tuning, JVM GC tuning, YARN queue design, memory management, and workload co-location Designed and implemented enterprise observability solutions using Cloudera Observability, Prometheus, Grafana, and automated alerting Built cluster-wide automation using Ansible, Chef, Terraform, Python, and Bash for 1000+ node fleets Owned end-to-end platform security: Kerberos, Ranger RBAC, Knox Gateway, TLS encryption, encryption zones, and MFA Designed secure, highly available AWS environments and automated infrastructure as code using CloudFormation Administered large-scale Kafka and streaming platforms with enterprise-grade performance and high availability Proven ability to manage Cloudera licenses, support ticket resolution, and implement Cloudera Data Visualization (CDV) and Cloudera Machine Learning (CML)

Mahesh L R

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Big Data Platform Engineer

Big Data Engineer

Software Engineer

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Master of Computer Applications -

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Big Data Platform Engineer

Big Data Engineer

Software Engineer

Master of Computer Applications -

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