Java, S3, Hadoop, Scala, Nodejs, Emr, Redshift, Sql, Hive, Ec2, Spark, Python, Data Modeling, Data Governance, ETL pipelines, GenAI solutions, Dashboard data models, Big data pipelines, AWS Tools and Technologies, Semantic layers

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

Spark SQL, Hive, Hadoop, Pyspark, Data Modeling, Data Warehousing, Sql, Data lakes, ETL processes

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

snowflake , AWS, Databricks, Sql, ELT, Etl, Python, Pyspark, Spark, GenAI

data engineering , Databricks, Kafka, C Sharp, Azure Data Factory, Azure Synapse Analytics, Spark, Dax, Python, Azure DevOps, Purview, R, Microsoft Fabric

object storage , Java, Mqtt, Rust, PostgreSQL, concurrency, Kafka, Networking, Storage, Iot, Kubernetes, data-intensive production systems, failure recovery, ClickHouse, Go, backpressure, high-cardinality time-series data, Pulsar, telematics systems, event-processing systems, Performance Analysis

data engineering , Orchestration, Distributed Computing, Gcp, MLops, Python, Sql

data engineering , Databricks, Data Warehousing, Azure, Sql

Java, Hadoop, HBase, Sql, Big Data Technologies, Git, Hive, Spark, Data Governance, Python, security and compliance standards, ETL processes, Trino