Orchestration, Data Quality, Spark, Kafka, Databricks, AWS, streaming processing, Airflow, lakehouse technologies, data ingestion

Distributed Systems, Backend Engineering, platform engineering, data infrastructure

Java, Python, Kafka, Spark, ClickHouse, Apache Pinot, Apache Iceberg, Kafka Streams, Go, Flink, Druid

Data Governance, AWS, Data Modeling, Kubernetes, Apache Spark, Pyspark, Apache Iceberg, batch pipelines, Airflow, Temporal, distributed data processing, Delta Lake

Tensorflow, BigQuery, Pandas, Pytorch, Docker, Spark, Kubernetes, Python, Sql, scikit-learn

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

Bash, Git, Terraform, Distributed Systems, Cloud Infrastructure, Kubernetes, Python, Go, infrastructure automation frameworks, reliability engineering practices, incident response processes, observability platforms, CI CD platforms, service reliability programs

Power Bi, Apache Spark, Databricks, Azure, Python, Sql, CI CD for data pipelines, Delta Lake, SoDA, Atlan

Spark, Databricks, Python, Pyspark, Azure Data Engineering

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