data engineering , Ml, Java, Machine Learning, Natural Language Processing, SAS, data mining, Scala, Big Data, Python, analytics platforms, Ai, data technologies, data lakes, R, ETL processes, cloud computing platforms

S3, Lambda, AWS Glue, Redshift, AWS SageMaker, RAG, Flask APIs

S3, Lambda, AWS Glue, Redshift, AWS SageMaker, Flask APIs

Spark SQL, T-sql, Data Factory, Power Bi, Json, Sql, Pandas, Azure Machine Learning, Python, Parquet, OneLake, Microsoft Entra ID, scikit-learn, Lakehouse Data Warehouse, Azure AI Services, Microsoft Purview, Delta Lake, Microsoft Fabric

data engineering , snowflake , Google Cloud Platform, Ffmpeg, Kafka, Hive, Opencv, Spark, Microsoft Azure, AWS, AI data infrastructure, Airflow, big data platforms, cloud platforms, Ray, Flink, video processing technologies, distributed data processing frameworks

PostgreSQL, Machine Learning, FastAPI, Rest Apis, Kubernetes, Python, Batch processing pipelines, GitOps, Infrastructure automation, Agentic AI systems, Streaming platforms, Event-driven architectures

Terraform, Spark, Kafka, Programming Languages, Kubernetes, Data streaming engineering, GitOps, Flink

Power Bi, Schema Design, Tableau, Sql, data pipelines, AI-driven coding workflows, data integrity, model training, backup fundamentals, Metabase, Optimisation, Relational Databases, AI-assisted development tools, Access Control, BI dashboarding tools, machine learning concepts

Numpy, Pandas, Python, Sql, Etl, ELT, LangChain, AI orchestration frameworks, multi-agent systems, NoSQL databases, MCP

bedrock , ECS, S3, Lambda, Api Gateway, Python, Redshift, RAG pipelines, EKS, Athena, Data warehousing solutions, knowledge retrieval, AWS data and AI technologies, GenAI applications, SageMaker, Step Functions, Data lakes and pipelines, Glue, Aurora, Vector search, LLM-based solutions, Machine learning models