software engineering practices , Unix, System Migration, Sql, Git, Linux, Data Integration, Shell scripting, Gitlab, Python, Testing, Etl, Logging, Workflow orchestration tools, Code reviews, Documentation, Cloud platforms, CI/CD pipelines, Large-scale data processing, Error handling, Data pipeline development, Modernisation

data engineering , Data Modelling, Hadoop, Hive, Gcp, Spark, Big Data Technologies, Data Architecture, Azure, Etl, AWS, Data Pipelines

object storage , Kafka, Sql, ELT, Data Replication, Data Integration, Spark, Etl, Airflow, Database views, StarRocks, Source-to-target mapping, Troubleshooting, Data warehouse platforms, MinIO, Trino

data engineering , Data Modelling, Hadoop, Hive, Gcp, Spark, Big Data Technologies, Data Architecture, Azure, Etl, AWS, Data Pipelines

Sql, Performance Monitoring, Release management, Python, Advanced search solutions, Enterprise data governance, Deployment automation, Cloud ecosystem, Backend data architecture, Distributed data processing frameworks, Data ingestion and transformation pipelines, Enterprise cloud security, Incident resolution, Security and compliance standards, CI/CD workflows

Hadoop, Pyspark, Informatica, Autosys, Sql, Jenkins, Git, Hive, DataStage, Spark, Talend, Python, HDFS, Teradata, Control-M

Hadoop, Pyspark, Informatica, Autosys, Sql, Jenkins, Git, Hive, DataStage, Spark, Talend, Python, HDFS, Teradata, Control-M

Hadoop, Pyspark, Informatica, Autosys, Sql, Jenkins, Git, Hive, DataStage, Spark, Talend, Python, HDFS, Teradata, Control-M

Sql, Python, AI LLM-based systems, analytics infrastructure, data pipelines, Agent Development Kit, Cider Agents, data architecture design, enterprise-scale data platforms, Gemini Command-line Interface, LLM Extensions, machine learning operations