Pranav Sadagopan

Data Engineer

https://www.opentalent.in/pranav-sadagopan

Data Engineer

IndiaMember since June 14, 2026

Key Strengths

Demonstrated interest in real-time data streaming and processing with Apache Flink and Iceberg.
Experience with distributed query engines like Trino and PrestoDB.
Familiarity with data lake concepts using Iceberg and object storage (MinIO, S3).
Exposure to CDC (Change Data Capture) with Debezium and Kafka.
Basic understanding of containerization with Docker for deployment.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's projects are primarily personal and demonstrate a strong focus on data engineering technologies, particularly real-time streaming and data lakes. This aligns well with a Data Engineer role. However, the lack of diverse project types (e.g., team projects, open-source contributions beyond personal repos) and limited technology breadth beyond the core data stack might indicate a narrower exposure to different work environments or problem-solving approaches. The absence of experience or education details makes it difficult to assess broader cultural fit.

Soft Skills & Operational Fit

Insufficient data to assess soft skills or operational fit. No psychometric test results or interview feedback provided.

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Projects

pyspark_rtm_demo

May 25, 2026 – Present

pyspark_rtm_demo — GitHub repository

View Project

spark_declarative_pipeline_iceberg

May 10, 2026 – Present

spark_declarative_pipeline_iceberg — GitHub repository

View Project

flink-iceberg-minio-trino

January 13, 2024 – January 16, 2024

This project demonstrates Real-Time streaming of CDC data from MySql to Apache Iceberg using Flink SQL Client for faster data analytics and machine learning workloads.

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flinksql-iceberg-s3-glue-streaming

August 11, 2023 – August 11, 2023

Flink SQL near real time streaming data to iceberg tables in s3 with aws glue as catalog and query using aws athena

View Project

mlflow-bentoml-local

February 13, 2023 – February 15, 2023

mlflow with bentoml for the machine learning experiment tracking and model deployment.

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flink-sql-iceberg-minio-trino

January 26, 2023 – January 26, 2023

Flink SQL near real time streaming data to iceberg tables in minio object storage with hive metastore and query using trino

View Project

flink-sql-iceberg-nessie-presto

January 15, 2023 – January 16, 2023

Flink SQL near real time streaming data to iceberg and query using presto

View Project

prestodb-docker-compose

September 15, 2022 – September 19, 2022

Docker compose for deploying presto with multiple workers

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prestodb-docker-compose-w3

September 14, 2022 – September 14, 2022

prestodb-docker-compose-w3 — GitHub repository

View Project

debezium-kafka-cdc

April 5, 2022 – May 2, 2022

debezium-kafka-cdc — GitHub repository

View Project

Key Strengths

Demonstrated interest in real-time data streaming and processing with Apache Flink and Iceberg.
Experience with distributed query engines like Trino and PrestoDB.
Familiarity with data lake concepts using Iceberg and object storage (MinIO, S3).
Exposure to CDC (Change Data Capture) with Debezium and Kafka.
Basic understanding of containerization with Docker for deployment.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

Insufficient data to assess soft skills or operational fit. No psychometric test results or interview feedback provided.

Pranav Sadagopan

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Projects

Key Strengths

Cultural & Operational Fit