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Jersey City
Monish Ritvik

Monish Ritvik

Sr. Data Engineer

Engineering / Architecture

Jersey City, City of Jersey City, Hudson

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About Monish Ritvik:

  • Experienced Data Engineer with 12+ years of strong background in building scalable and reliable data pipelines across cloud platforms.
  • Expertise in Data warehouses like Azure synapse, analytics, redshift, snowflake ,Big query for data modeling, performance optimization, and query tuning.
  • Proficient in Apache Spark and Spark for large-scale data processing and transformation tasks.
  • Hands-on experience with Databricks for collaborative development, orchestration, and ML workflows.
  • Built and maintained ETL/ELT pipelines using tools like Apache Airflow, DBT, and Azure Data Factory, AWS glue, Cloud composer.
  • Designed modern data architectures leveraging data lake houses on Delta Lake.
  • Worked with structured, semi-structured, and unstructured data using JSON, Parquet, and Avro formats.
  • Built robust ingestion pipelines using Kafka, AWS Kinesis, and Azure Event Hubs for real-time processing.
  • Automated data workflows and infrastructure using Terraform, CloudFormation, and CI/CD pipelines.
  • Implemented SCD (Slowly Changing Dimensions) and CDC (Change Data Capture) strategies using DBT and Five Triggers.
  • Deployed scalable solutions on AWS (S3, Redshift, Glue, Lambda), Azure (Data Lake, Synapse, Functions), and GCP (Big Query, Cloud Functions).

Experience

  • Experienced Data Engineer with 12+ years of strong background in building scalable and reliable data pipelines across cloud platforms.
  • Expertise in Data warehouses like Azure synapse, analytics, redshift, snowflake ,Big query for data modeling, performance optimization, and query tuning.
  • Proficient in Apache Spark and Spark for large-scale data processing and transformation tasks.
  • Hands-on experience with Databricks for collaborative development, orchestration, and ML workflows.
  • Built and maintained ETL/ELT pipelines using tools like Apache Airflow, DBT, and Azure Data Factory, AWS glue, Cloud composer.
  • Designed modern data architectures leveraging data lake houses on Delta Lake.
  • Worked with structured, semi-structured, and unstructured data using JSON, Parquet, and Avro formats.
  • Built robust ingestion pipelines using Kafka, AWS Kinesis, and Azure Event Hubs for real-time processing.
  • Automated data workflows and infrastructure using Terraform, CloudFormation, and CI/CD pipelines.
  • Implemented SCD (Slowly Changing Dimensions) and CDC (Change Data Capture) strategies using DBT and Five Triggers.
  • Deployed scalable solutions on AWS (S3, Redshift, Glue, Lambda), Azure (Data Lake, Synapse, Functions), and GCP (Big Query, Cloud Functions).

Education

2011 passed out  - bachelors - electronics and communications - veltech university 
2013 passed out - masters - informations systems - pace university

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