data engineering , Java, S3, Hadoop, Scala, Nodejs, Big Data Technologies, Emr, Data Modeling, Redshift, Sql, Hive, Ec2, Spark, Python, AWS Tools, Warehousing, ETL pipelines

data engineering , Java, S3, Hadoop, Scala, Big Data Technologies, Nodejs, Emr, Data Modeling, Redshift, Sql, Hive, Ec2, Spark, Python, AWS Tools, ETL pipelines

S3, Pyspark, Data Modeling, Scalability, Lambda, Data Governance, Python, AWS, RDS, Redshift, Sql, Data Quality, Git, Cloudwatch, Spark, Databricks, Data Security, Reliability, lineage auditing, Lakehouse architecture, cost management, Unity Catalog, rbac, Glue, Delta Lake, performance optimization

Data Quality, Data Modelling, Pyspark, Data Governance, Databricks, Python, Sql, data cataloging, Delta Lake, Lakehouse architecture

data engineering , Java, S3, Hadoop, Scala, Nodejs, Big Data Technologies, Emr, Data Modeling, Redshift, Sql, Hive, Ec2, Spark, Python, AWS Tools, ETL pipelines

Distributed Systems, Cloud Computing, scalability engineering, DevOps practices, cloud-native architectures, database engines

Pyspark, Apache Spark, Data Architecture, MLops, Docker, Iam, Kubernetes, Big Data Architecture, Medallion Architecture, Unity Catalog, AWS data ecosystem, Delta Lake, Data Ops, Infrastructure as Code Terraform, AWS cloud ingestion, Databricks ecosystem

Ml, Apis, Microservices, Enterprise Integration, Distributed Systems, Containers, Kubernetes, Python, GenAI, cloud-native architecture, infrastructure automation, Ai, CI CD, secure development, modern data platforms, observability

graph databases , Spark, Databricks, Sql, AWS, S3, Python, Tableau, Spark Streaming, dbt

data engineering , snowflake , Cloud Architecture, Pyspark, Tableau, Data Governance, Sql, Gcp, Powerbi, Data Integration, Databricks, Excel, Azure, Python, AWS, Cloud-based databases, Synapse, ML pipelines, Data Operations, dbt, Data quality frameworks