data warehouses , Machine Learning, Apis, Pyspark, Apache Spark, Sql, ELT, Microservices, Gcp, Databricks, Azure, Python, Etl, AWS, Data lakes, Generative AI, Cloud platforms, Llm, AI concepts, RAG, Cloud-based applications, Data pipeline development

Version Control, Spark, Data Governance, Python, Sql, Azure Sql, Etl, ELT, Airflow, AzureML, Access management

Machine Learning, Predictive Analytics, Python, Pandas, Numpy, Pytorch, Tensorflow, XGBoost, Random Forest, AI engineering, scikit-learn, LightGBM, ensemble models, anomaly detection

Migration, Azure, Aws, Python, Sql, CI/CD

snowflake , Kafka, ELT, Terraform, Python, AWS, Java, Scala, Sql, Gcp, Spark, Databricks, Azure, Kubernetes, Etl, Airflow, cdc, SeaTunnel, Flink, Batch Processing, Hudi, Trino, Git-based CI/CD, ClickHouse, StarRocks, Real-time streaming, Iceberg, Apache Doris, dbt, Delta Lake

AWS, Sql, ELT, SAP, Google Cloud, Etl, Data Quality, Python, Data Governance, Azure, Scala, Data Modeling, CRM, Salesforce

ELT, Data Modeling, Data Governance, Google Cloud, Machine Learning, Etl, AWS, Data Quality, Data Warehousing, Azure, Advanced Analytics, cloud data platforms, data lakehouse, data engineering best practices, cloud platforms, big data tools

snowflake , Python, Sql, Tensorflow, Hadoop, Pandas, BigQuery, Pytorch, Data Architecture, Nosql, Informatica, Numpy, AWS, Talend, Kubernetes, Azure, Docker, Spark, Airflow, cloud platforms, CI CD pipelines, MLOps tools, Kubeflow, MLflow, Scikit-learn

Powerbi, Databricks, Sql, Azure Functions, Dax, Python, Pyspark

Hadoop, Data Security, Data Quality, Data Governance, Clustering, Sql, Metadata Management, Spark, Predictive Modeling, Python, LLMs, Iceberg, Superset, Classification techniques, Knowledge graph