Monish Ritvik
Sr. Data Engineer
Talent
Jersey City, City of Jersey City, HudsonMember since June 18, 2025
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About
- 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
