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
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