Haymant Mangla

Software Engineer

Bengaluru, Karnataka, India5 yrs experience

Key Highlights

Expert in optimizing data lakehouse functionality.
Architected data sharing platforms for real-time processing.
Contributed significantly to Apache Hive open-source project.

Stackforce AI infers this person is a Backend-heavy Fullstack Engineer specializing in Data Engineering and Real-time Processing.

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Skills

Core Skills

Data LakehouseApache IcebergData Sharing PlatformReal-time Data ProcessingHive ReplicationData Consistency

Other Skills

Apache HiveApache KafkaCDPDBMSData ScienceDeep learningFailover MechanismFlinkHDFSHadoopHiveJava/C++Machine LearningMarmarayPython (Programming Language)

About

Google: Enhance Data Lakehouse functionality with a primary emphasis on Apache Iceberg. My work involves optimizing Iceberg read performance by implementing multiple architectural solutions to reduce latency and improve throughput. Uber: Built data sharing platforms that integrated Apache Kafka, Flink, Hive, HDFS, Spark, and Uber Marmaray. These systems managed both real-time and batch data processing at the scale required to maintain Uber’s operations in critical markets, including London and the United States. Cloudera: Focused on Hive replication technology. Contributed 50+ commits to the Apache Hive open-source project. Developed a failover mechanism for Hive datasets, enabling seamless transitions between data centers. (https://github.com/hmangla98?tab=overview&from=2021-12-01&to=2021-12-31)

Experience

Google

Software Engineer III

May 2025 – Present · 10 mos · Bengaluru, Karnataka, India · Hybrid

Enhance Data Lakehouse functionality with a primary emphasis on Apache Iceberg. My work involves optimizing Iceberg read performance by implementing multiple architectural solutions to reduce latency and improve throughput.

Apache IcebergData Lakehouse

Uber

2 roles

Software Engineer II

Promoted

Aug 2024 – May 2025 · 9 mos

Architected and implemented a Data Sharing Platform that integrates Apache Kafka and Flink for real-time streaming with Hive, HDFS, Spark, and Uber Marmaray for batch processing. This infrastructure manages data ingestion and synchronization across international markets, including London and the USA. Designed the end-to-end system architecture to automate data workflows and scaling the platform to support Uber’s global operational requirements.

Apache KafkaFlinkHiveHDFSSparkMarmaray+2

Software Engineer I

Jul 2022 – Jul 2024 · 2 yrs

Cloudera

2 roles

Associate Software Engineer

Jul 2021 – Jun 2022 · 11 mos · Bengaluru, Karnataka, India

Primary focus was on improving Hive replication.
1. Architected and led the development of a multi-cluster failover mechanism for Hive datasets, enabling seamless data center transitions for a major enterprise client.
2. Contributed 50+ commits to the Apache Hive open-source project.
3. Engineered solutions to ensure data consistency and reliability across distributed environments.

HiveApache HiveFailover MechanismHive ReplicationData Consistency