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Manoj G S

Manoj G S

DATA ENGINEER | PYTHON, DISTRIBUTED WORKFLOWS

Talent
BengaluruMember since November 6, 2026
PythonOOPData Structures&AlgorithmsSQLBashC++DjangoFastAPIREST APIsMicroservicesInternal ToolingClient-Server ArchitecturePySparkApache SparkAzure DatabricksKafkaADFADLS Gen2Delta LakeETL/ELTStructured StreamingSnowflakedbt CoreAirflowAstronomer CosmosPostgreSQLStar SchemaSCD Type 2AzureAWS EC2
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PythonOOPData Structures&AlgorithmsSQLBash

About

Python and Data Platform Engineer with 4 years of experience building production data platforms, backend services, distributed pipelines, internal tools, and cloud-native automation across Azure and AWS. Strong in Python, SQL, Spark, Airflow, Snowflake, dbt, Django, FastAPI, Docker, Kubernetes, CI/CD, and observability. Delivered reusable frameworks, REST APIs, batch and streaming workflows, ML deployment pipelines, automated testing, production monitoring, and incident support for data-intensive engineering systems.

Experience

Data Engineer / Data Platform Engineer at Bosch Global Software Technologies (2023 – Present)

Clients: MBRDI and DTICI

  • Built and operated production data platforms, Python automation frameworks, REST services, and distributed processing systems supporting high-volume automotive validation and analytics workloads.
  • Developed reusable Python components for ingestion, validation, workflow orchestration, structured logging, exception handling, API integration, and automated test execution.
  • Designed batch and streaming pipelines using Spark, Kafka, Azure Databricks, ADF, ADLS Gen2, Snowflake, and cloud orchestration services.
  • Automated build, testing, deployment, and environment promotion through GitHub Actions and Jenkins across Development, Test, and Production environments.
  • Collaborated with software, data, analytics, validation, and domain teams to design, release, monitor, troubleshoot, and improve production systems.

Machine Learning Engineer Intern at Technofly Labs Software Company (2022-08 – 2022-10)

  • Built classification and regression models to predict student placement outcomes and expected salary using real placement datasets.
  • Performed data cleaning, preprocessing, feature engineering, model comparison, and validation to improve prediction reliability.

Education

Bachelor of Engineering in Electronics and Communication – K S Institute of Technology (2018 – 2022)

Skills

DATA ENGINEERPYTHONDISTRIBUTED WORKFLOWS

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