data engineering , object storage , Kafka, Apache Airflow, Elasticsearch, Gitlab, Python, Java, Hadoop, Scala, Jenkins, Hive, Spark, Aws S3, orc, data virtualization tools, Dremio, relational RDBMS, IBM COS, distributed data processing frameworks, Spark Compute, modern storage formats, Parquet, Airflow orchestration, NoSQL databases, HDFS, Iceberg

Data Modeling, Sql, Cloud Architecture, Data Warehousing, Big Data, ETL Processes

Ml, Pyspark, Datamodelling, Azure Data Bricks, Data Architecture, Sql, ELT, Etl, CICD Pipelines, Ai

Data Migration, Power Bi, Pyspark, Data Governance, Data Warehousing, Data Integration, Data Quality, Azure Data Factory, Data Lake, Azure, Python, Etl, Purview, Batch data processing, Data transformations, Metadata driven pipelines, Data Bricks, Synapse, Data ingestion, architecture frameworks, Data Discovery Analysis

Azure Sql, Data Modeling, Data Warehousing, Data Governance, Cloud Architecture, ETL Processes

Azure Synapse Analytics, Scala, Sparksql, Azure Time Series Insights, Azure Databricks with PySpark, Azure HDInsight, Azure Stream Analytics, Azure Analysis Services, Azure Data Explorer, Microsoft Azure Analytics Services

Data Governance, Ml, Sql, Databricks, Java, Hadoop, Kafka, Etl, Nosql, Gcp, Scala, AWS, Data Quality, Data Modelling, Python, Azure, Metadata Management, Spark, Ai, data mesh, data lakehouse architectures, Big Query, data fabric, master data management, cloud data platforms

data engineering , Sql, Databricks, Data Factory, Tensorflow, Deep Learning, Etl, Pytorch, ELT, Machine Learning, Python, Kubernetes, Docker, Nlp, Spark, Airflow, LLMs, AWS Sagemaker, Azure AI, RAG, MLOps tools, MLflow, Kubeflow, Google Vertex AI, Transformers

snowflake , Sql, Data Warehousing, Kinesis, Kafka, AWS, Nosql, Python, Big Data, Data Modeling, Ai, Azure Data Platforms, OLAP systems, Security encryption architecture, GenAI exposure, Real-time OLTP