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

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

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

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

data engineering , snowflake , Sql, Gcp, Python, AWS, Data Quality, Data Architecture, Data Governance, Data Modeling, Airflow, dbt, cloud-based data platforms

BigQuery, Hadoop Ecosystem, Scala, Apache Spark, Kafka, Data Modeling, Dataproc, ELT, Cloud Storage, DataFlow, Etl, Airflow, pipeline orchestration

Kafka, Sql, Spark, Python, AWS, Data Modeling, Dimensional Modeling, dbt, Incremental and idempotent transformation patterns, ETL/ELT pipelines, CDC-based ingestion, Slowly changing dimensions

Power Bi, Azure Sql, Sql, Python, Git, Machine Learning, Data Architecture, Azure, Azure DevOps, Automated Testing, Microsoft Fabric, Generative AI, ERP integration, Ai, CI/CD, Microsoft Dynamics 365 Finance Operations

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