Containers, Typescript, Python, Testing, Apis, Aws Services, Debugging, Integrations, MLops, Distributed Systems, Prompt engineering, Software design principles, Performance optimization, AI technologies, Workflow orchestration, Infrastructure as code, Observability, Machine learning services, Git-based CI/CD, Automated quality practices, Intelligent automation, Generative AI, Cloud platforms, Streaming technologies, Data ingestion, Retrieval-augmented generation, Secure development, LLM integrations, CI/CD practices

data engineering , data vault , Apache Spark, Kafka, Sql, Git, Kinesis, Data Warehousing, Python, Apache Iceberg, Airflow, Infrastructure as Code, Flink, Delta Lake, Apache Hudi

data vault , Apache Spark, Kafka, Data Modeling, Data Warehousing, Sql, Dimensional Modeling, ELT, Kinesis, Python, Etl, Apache Iceberg, Airflow, CDC-based data ingestion, Monitoring solutions, Performance optimization, Flink, Batch streaming, Workflow orchestration, Partitioning schema evolution, Delta Lake, Apache Hudi, Data quality frameworks

Java, Python, Spark, Kafka, Trino, Iceberg

Scala, Java, Deep Learning, Machine Learning, C, Javascript, Apache Spark, Big Data, Python

data discovery , Google Cloud Platform, Kafka, Data Modeling, Data Lineage, Sql, Metadata Management, Python, Data lakehouse principles, Parquet, cdc, SCDs, Streaming architectures, Google BigQuery, Dimensional models, Pub Sub, AI ML use cases, Google Cloud Storage, Data pipelines, Data versioning

snowflake , Sqlalchemy, FastAPI, Python, Kubernetes, Azure DevOps, Confluent Kafka, Pydantic, CI/CD implementations, DevOps practices, Microsoft Azure services, Cloud-native technologies

Github, Apache Flink, Csv, PostgreSQL, Apache Spark, Edi, Json, Redis, Typescript, Docker, MySQL, Xml, MongoDB, Restful Apis, Python, Airflow, Go

React, Terraform, Docker, Kubernetes, Python, AWS, Data Pipelines, Go, AI-assisted tooling, Analytics Systems