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 , change data capture , Orchestration, Data Governance, Python, Sql, streaming ingestion, data quality testing, observability

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

snowflake , Databricks, Emr, Distributed Systems, Tensorflow, Apache Spark, Presto, Kafka, Pytorch, Kubernetes, Docker, Terraform, Airflow, MLOps tools, Ray, Kubeflow, dbt, Infrastructure-as-Code, Flink, Data platforms, Real-time streaming architectures, Model serving, LLM hosting, Trino

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

data engineering , Databricks, Data Warehousing, Azure, Sql

Storm, Cassandra, Kafka, Oozie, Python, AWS, BigQuery, Hadoop, Scala, HBase, Impala, Redshift, Gcp, Presto, Spark, MongoDB, Azure, Airflow, Flink, Pub Sub, NiFi, Control-M, Pulsar, Athena

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