containerization , Dynamodb, Data Warehousing, Cloudwatch, Sql, Redis, Numpy, Lambda, Pandas, Batch, Spark, Flask, Python, Api Gateway, AWS, Step Functions, Polars, Metaflow

snowflake , Distributed Systems, S3, Testing, Java, Microservices, Application Development, System Design, Etl, Python, Apis, Redshift, Athena, Cloud-native data platforms, Data-intensive applications, Infrastructure as Code, Glue, Operational stability, AI-assisted software development tools, Backend services, Containerized application development

Python, Julia, Teradata, ETL pipelines

snowflake , Git, Sql, SQL Server, Hadoop, Numpy, Pyspark, Pandas, AWS, Etl, MySQL, Talend, Python, Kubernetes, Azure, Docker, Gcp, PostgreSQL, Spark, Redshift, Airflow, dbt, Big Query

Spark, Sql, AWS, Python, Azure, Gcp, ClickHouse

change data capture , Data Migration, Sql, Splunk, Python, Jenkins, Git, Oracle Db, Pandas, Legacy Systems, EBCDIC

Power Bi, Sql, Oracle, Python, Xml, Xslt, CSS, Json, Javascript, Ms Sql Server, Plotly

snowflake , Pyspark, Data Modelling, Sql, Gcp, Data Integration, Azure, Python, AWS, cloud data warehouses, web-services, version control tools like Git, data lakes, Relational Databases, CI CD pipelines, Palantir Foundry, data processing frameworks, ETL workflows

Sql, Data Warehousing, Tableau, Pandas, AWS, Etl, Python, Nosql, Azure, Terraform, Docker, Gcp, Jenkins, Flask, Nlp, Spacy, GitHub Actions, Ai, Data APIs

Python, Airflow Prefect or pipeline orchestration, LLM API integration OpenAI Anthropic, API integrations REST webhooks, Testing and clean Git workflows, Docker CI-CD, Understanding of how RAG systems use data, AWS GCP experience, LangChain LangGraph CrewAI, Strong SQL and database design, Exposure to vector databases pgvector Pinecone, Prompt structure and output handling, Basic BI analytics tools, FastAPI or similar frameworks