ETLPipelines-Development, Python-DataProcessing, Airflow-Orchestration, Snowflake-DataWarehousing, AWSGlue-CloudETL

Sql, Pig, Emr, Java, Data Warehousing, Data Architecture, Hadoop, Etl, Hive, Scala, S3, ELT, Apache Airflow, Apache Spark, Kinesis, Data Modelling, AWS, Oracle Sql, Kubernetes, Python, Ec2, Redshift, R, Microservices deployment, HDFS, Athena, Container orchestration, Data Processing

S3, Oracle Sql, Data Architecture, ELT, Ec2, Kinesis, Python, Java, Aws Services, Emr, Redshift, Sql, Devops, Hive, Spark, Plsql, Kubernetes, Etl, Modeling, Airflow, Warehousing, R, machine learning deployment, microservices deployment, data crawling, streaming solutions, warehouse construction, CI CD pipelines, lake formation, Athena, container orchestration, Oracle database architecture

Spark, Sql, Emr, Java, Devops, Etl, Hive, Data Architecture, S3, ELT, Aws Services, Kinesis, Oracle Sql, Plsql, Kubernetes, Python, Ec2, Redshift, warehouse construction, Airflow, lake formation, container orchestration, Modeling, CI CD pipelines, microservices deployment, streaming solutions, Warehousing, Athena, data crawling, machine learning deployment, R

S3, Oracle Sql, Data Architecture, Data Warehousing, Microservices, ELT, Apache Airflow, Ec2, Kinesis, Python, AWS, Java, Hadoop, Data Modelling, Scala, Apache Spark, Emr, Redshift, Sql, Pig, Devops, Hive, Plsql, Kubernetes, Etl, data lake formation, R, Data Processing, HDFS, data warehouse construction, data crawling, Athena, container orchestration

and query tuning., and optimize Snowflake-based data warehouse solutions., • Develop and maintain modular DBT models (staging, and marts)., and Git-based workflows., and architecture teams to deliver reliable data solutions., Security & Performance Optimization ? DBT (Data Build Tool) ? Advanced SQL ? Data Modeling & Data Warehouse Architecture ? ETL / ELT Development ? Snowpipe, Streams & Tasks ? Git & CI/CD ? Unix/Linux Shell Scripting ? Control-M, Streams, Clustering, Autosys, Optimize Snowflake performance using Snowpipe, Tasks, Design, Develop, Intermediate, Build scalable ETL/ELT pipelines, Implement CI/CD pipelines, Analytics, Business, enterprise data models, including Star Schema, Snowflake Schema, and Fact/Dimension modeling, Snowflake Architecture, Airflow, or similar orchestration tools

Distributed Systems, Spark, Python, Airflow, data pipelines, workflow orchestration, model deployment, Flink, production data infrastructure, data infrastructure, production system reliability, Production Support, inference monitoring, ML systems

BigQuery, Data Security, Kafka, Infrastructure Management, DataFlow, Gcp, Spark, Dataproc, Databricks, Kubernetes, Airflow, ETL frameworks, multi-geographical data pipelines, dbt, Google Cloud Storage, Data Platform, workflow or orchestration frameworks, metrics stores