S3, Data Warehousing, Data Modeling, Microservices, ELT, Lambda, Python, Aws Services, Redshift, Sql, Kms, Cloudwatch, Iam, Data Governance, Restful Apis, Etl, lineage, API-driven integrations, data quality management, EventBridge, Security, Access Control, lakehouse patterns, Step Functions, DevOps practices, event-driven architectures, Lake Formation, CI CD pipelines, Glue, Athena

snowflake , Metadata Management, Cloudformation, Data Warehousing, Apache Spark, Data Architecture, Sql, Data Quality, Terraform, Data Governance, Databricks, Python, Infrastructure as Code, data pipelines, security frameworks, data modeling principles, data lakes, cloud-based data platforms, analytical architectures, real-time data processing

Power Bi, Azure Sql, Azure Synapse, Git, Azure Data Factory, MLops, One Lake, Parquet, data catalog and governance tooling, DevOps practices, LLMOps, Pipelines, Microsoft Purview, infrastructure-as-code, Gen AI tools, Microsoft data platform, Notebooks, Delta Lake, Microsoft Fabric, Lakehouse Warehouse

Databases, Big Data Technologies, Data Warehousing, Data Modeling, Infrastructure as Code IaC, ETL ELT Data Integration, Programming Scripting, Cloud Platforms, Data Lakes, DevOps DataOps MLOps

S3, Sql, Databricks, Machine Learning, AWS Glue, Tensorflow, Azure Data Factory, Devops, DataFlow, Data Modelling, AWS, Pytorch, Graph, Python, Nosql, Azure, Spark, Redshift, MLflow, Gen AI, Flink, Synapse, Scikit-learn, GCP BigQuery

data discovery , Metadata Management, Sql, Query Optimization, Data Lineage, Kafka, Clustering, Data Modeling, Slas, Data Quality, Python, Google Cloud Platform, Observability practices, SCDs, Pub Sub, Data pipelines, AI ML use cases, Partitioning, SLOs, Data versioning, Streaming architectures, Google Cloud Storage, Google BigQuery, cdc, Data lakehouse principles, Dimensional models

Test Driven Development, Data Migration, Sql, Aws Services, Data Warehousing, Software Development, Python, Big Data, Data Warehouse, Cloud-based Data Platforms, Data Lakes, Real-time Data Pipelines, No-SQL, Message Brokers, Data Integration Solutions, AI Concepts

bigtable , Java, Dynamodb, Rust, Kafka, Distributed Systems, Cassandra, Elasticsearch, Scala, Spark, batch data pipelines, scalable data stores, Flink, Go, ClickHouse, backend architecture, Pulsar, Beam

AWS AI Services, Automation and orchestration tools, Designing scalable and secure data solutions, Machine Learning Operations, Cloud-based data platform architectures

Api Integration, Bash Scripting, Kafka, Json, Avro, Data Quality, Spring Batch, Terraform, Data Governance, Python, Event-Driven Architecture, Data Engineering Architecture, Parquet, Infrastructure as Code IaC, Data Pipelines ETL, Google Pub Sub, Batch Processing, GCP Google Cloud Platform