data engineering , Databricks, Data Warehousing, Azure, Sql

snowflake , Java, BigQuery, Apis, Kafka, Redshift, Sql, Microservices, Angular, Devops, Gcp, Spark, Databricks, Distributed Systems, Azure, Python, Airflow, Apache Iceberg, Redis caching, Dremio, Data quality lineage reconciliation and governance frameworks, AI driven modernization

Spark, Databricks, Python, Pyspark, Azure Data Engineering

Amazon Web Services, Hadoop, Pyspark, Amazon Kinesis, Apache Spark, Kafka, Redshift, Nosql, Data Quality, Data Governance, Python, Structured Query Language, Elastic MapReduce, Relational Database Service, Glue

Hadoop, Unix, Yarn, Pyspark, Linux, Kafka, Etl, Hive, Python, Scala, Oozie, Spark, Airflow

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

Spark, Kafka, Python, Sql, AWS, Team Leadership, cloud platforms

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

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