Hiralal Purohit

Hiralal Purohit

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Software Engineer Big Data | Data Engineer / Platform Engineer | AWS | Spark | Kafka | Flink | Trino | EMR | Databricks | Python | SQL
Mumbai, Maharashtra, India
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Résumé

Jobs verified_user 0% verified
  • Protegrity
    Software Engineer Big Data
    Protegrity
    Sep 2023 - Current (3 years 2 months)
    Built and validated secure big data platform solutions across Spark, Hive, Flink, Trino, Databricks, AWS EMR, and EMR Serverless.

    Designed GenAI-assisted QA automation workflows for cluster provisioning, installation, and validation.

    Implemented streaming data protection pipelines using Flink and Kafka on AWS.

    Built automation pipelines for EMR and Trino environments using Terraform, Ansible, and Jenkins.

    Developed secure upgrade and rollback automation for Kerberos-enabled Trino clusters.
    Contributed to cloud data platform integrations across Databricks, CDP, and EMR-based environments
  • T
    Developer
    TCS Rapid Labs
    Jun 2021 - Nov 2021 (6 months)
    Successfully worked on a project titled "Sentiment Analysis for Call Center Recordings" at TCS Rapid Labs.
    Utilized audio files as input and implemented the speaker diarization process to segment the voices of speakers in the recordings.
    Converted separate audio files of each speaker into text using Google Cloud Speech-to-Text API.
    Conducted sentiment analysis on the generated text using Google Cloud Platform Natural Language API.
    Leveraged data analysis skills to extract insights and provide actionable recommendations for call center performance optimization.
  • Tata Consultancy Services
    Software Developer
    Tata Consultancy Services
    Apr 2021 - Sep 2023 (2 years 6 months)
    Maintained a Java-based partner portal application for Mascom, Botswana based Telecom Company.
    Conducted daily monitoring and health checks of the partner portal application, ensuring smooth operation and performance.
    Acted as the application owner, taking responsibility for its overall functionality and performance.
    Fixed bugs and vulnerabilities in the application, ensuring its security and stability
    Developed and implemented new features, including a reporting page for payment-related reports, a chatbot using Python Rasa NLU for improved customer service,OTP based user password changing functionality as well as a new feature for sim card registration to enhance user experience and efficiency
    Upgraded the Dat
  • Tata Consultancy Services
    System Engineer
    Tata Consultancy Services
    Sep 2020 - Apr 2021 (8 months)
    Maintainance of Partner Portal Application.Daily Monitoring and Health check.Preparing the knowledge based .Working on bugs and fixing them.Solving the daily incident request.
Education verified_user 0% verified
  • Xavier Institute of Engineering
    Bachelor's of Engineering, Information Technology
    Xavier Institute of Engineering
    Jan 2016 - Jan 2020 (4 years 1 month)
  • D
    juniour college, science
    Dg Ruparel College of ArtsScience and Commerce
    Jan 2014 - Jan 2016 (2 years 1 month)
  • V
    School
    Vanita Vishram High School
Publications verified_user 0% verified
  • I
    BIOMETRIC IDENTIFICATION USING GAIT ANALYIS BY DEEP LEARNING
    International Research Journal of Engineering and Technology IRJET Feb
    Traditionally, biometric authentication has been done on human characteristics like fingerprint, voice, face-id, and iris scan. People often feel that they can identify a familiar person afar simply recognizing the way that the person walks. This collective experience is combined with new biometrics, has led to the development of Gait Recognition as a form of biometric identification. The ultimate aim is biometric identification using Gait Parameters. Our project can be used in security systems and various organizations, financial institutions, military and defense sectors, and aerospace industry. The result will be an unsupervised machine that will be able to authenticate humans based on their Gait Cycle. The end result of our project will
  • I
    Solar Powered Wireless Intrusion Detection System in Agricultural Farms
    International Journal of Computer Applications May
    In recent times we observe that farmers are committing
    suicide because they cannot cope up with the physical,
    mental, financial and various factors that push them over the
    edge. One such factor is the constant encroachment by
    animals on farmlands thereby incurring an irreparable loss to
    the farmers. Often the fully grown crops get razed to the
    ground when animals intrude into the farmland. This
    problem is rising at an alarming rate as due to deforestation
    the animals living in the region wander off in the human
    territory. To prevent such mishaps, farmers need to be on
    their guard when crops are almost ready to be harvested.
    Farmers have to guard their agricultural lands throughout the