Job Title: Azure Data Lead Engineer
Location: Fremont CA (ONSITE)
Duration: 12 Month
- Accomplished Data Architect / Senior Data Engineer with 12 years of experience designing and modernizing enterprise data platforms across banking healthcare and retail domains
- Architected scalable ETL/ELT pipelines using Python PySpark Databricks AWS Glue and Azure Data Factory supporting high-volume transactional and regulatory data processing.
- Led enterprise-scale Data Architecture initiatives defining logical and physical data models governance standards and cloud-native platform blueprints across AWS and Azure environments.
- Designed and implemented Medallion (Bronze/Silver/Gold) Lakehouse architectures using Delta Lake S3 ADLS Gen2 Snowflake Redshift and Synapse Analytics.
- Engineered large-scale distributed processing workloads using Apache Spark PySpark Databricks EMR Hive and HDFS processing billions of records for enterprise analytics.
- Orchestrated complex data workflows using Apache Airflow Databricks Workflows AWS Step Functions and Azure Data Factory triggers ensuring SLA-driven pipeline execution.
- Strong hands-on experience in Advanced SQL including complex joins CTEs window functions stored procedures indexing strategies partitioning and execution plan optimization across Snowflake PostgreSQL and Oracle.
- Built real-time streaming architectures using Apache Kafka AWS Kinesis Azure Event Hub and Service Bus supporting fraud detection claims monitoring and operational telemetry.
Job Title: Azure Data Lead Engineer Location: Fremont CA (ONSITE) Duration: 12 Month Accomplished Data Architect / Senior Data Engineer with 12 years of experience designing and modernizing enterprise data platforms across banking healthcare and retail domains Architected scalable ETL/ELT pipeli...
Job Title: Azure Data Lead Engineer
Location: Fremont CA (ONSITE)
Duration: 12 Month
- Accomplished Data Architect / Senior Data Engineer with 12 years of experience designing and modernizing enterprise data platforms across banking healthcare and retail domains
- Architected scalable ETL/ELT pipelines using Python PySpark Databricks AWS Glue and Azure Data Factory supporting high-volume transactional and regulatory data processing.
- Led enterprise-scale Data Architecture initiatives defining logical and physical data models governance standards and cloud-native platform blueprints across AWS and Azure environments.
- Designed and implemented Medallion (Bronze/Silver/Gold) Lakehouse architectures using Delta Lake S3 ADLS Gen2 Snowflake Redshift and Synapse Analytics.
- Engineered large-scale distributed processing workloads using Apache Spark PySpark Databricks EMR Hive and HDFS processing billions of records for enterprise analytics.
- Orchestrated complex data workflows using Apache Airflow Databricks Workflows AWS Step Functions and Azure Data Factory triggers ensuring SLA-driven pipeline execution.
- Strong hands-on experience in Advanced SQL including complex joins CTEs window functions stored procedures indexing strategies partitioning and execution plan optimization across Snowflake PostgreSQL and Oracle.
- Built real-time streaming architectures using Apache Kafka AWS Kinesis Azure Event Hub and Service Bus supporting fraud detection claims monitoring and operational telemetry.
View more
View less