Apis, Hadoop, Scala, Impala, Mapreduce, Big Data Technologies, Hive, Gcp, Kerberos, Spark, Data Transformation, Kafka, Oozie, Data Extraction, Python, AWS, HDFS, Parallel Processing

snowflake , Mqtt, Kafka, Sql, Tensorflow, Spark Streaming, Pandas, Pytorch, XGBoost, Databricks, Python, Airflow, Scikit-learn, MLflow, Flink, dbt, Kubeflow, AWS Kinesis

Github, Continuous Delivery, Visual Studio, Continuous Integration, Azure Functions, Azure, Azure DevOps, D365 FO concepts, Dynamics 365 for Finance Operations, Logic Apps, Dataverse, Microsoft Dynamics 365, Microsoft Power Platform, Azure AI services, Azure Cognitive Services

Databases, cloud security, Rest Apis, Microservices, event-driven architecture, release deployment practices, AWS cloud architecture, observability

schemas , Power Bi, Microsoft Dynamics Crm, Power Apps, Application Insights, data models, role-based access logging, disaster recovery processes, Dynamics Sales and Marketing applications, Azure Dataverse, CI CD pipelines, ADO Azure DevOps

containerization , Dynamodb, Sql, Redis, Numpy, Pandas, Batch, Spark, Flask, Python, AWS, Step Functions, Polars, ECR, Metaflow