Pyspark, Cloud Storage, Git, Gcp, Postgres, Dataproc, Python, Sql, Big Query, Airflow

Git, Hive, Hadoop, Pyspark, Apache Spark, Rest Apis, Python, Sql, Etl

Restful Apis, Python, DevOps practices, Cloud-native development, Enterprise-authorized AI-assisted software development tools, Microservices architecture

Restful Apis, Python, DevOps practices, Cloud-native development, Enterprise-authorized AI-assisted software development tools, Microservices architecture

Aws Lambda, Machine Learning, Amazon Ec2, Amazon S3, Sql, Tensorflow, Nosql, Pytorch, Flask, Aws Cloud, FastAPI, Amazon Rds, Python, Api Gateway, LangChain, Generative AI, Scikit-learn, Amazon SageMaker, Amazon Bedrock, Prompt Engineering, LlamaIndex

react.js , Node.js, Python

Cloud Computing, Sql, Fault Tolerance, Nosql, Jenkins, Docker, Linux, Build Automation, Restful Services, Query Optimization, Azure, Python, Kubernetes, AWS, Github Actions, CI CD

snowflake , Data Architecture, Performance Tuning, Sql, Etl, ELT, Data Warehousing, Azure Data Factory, Dimensional Modeling, Snowpipe, Matillion, rbac

Testing, Application Development, Tensorflow, Software Development Life Cycle, Pytorch, System Design, Agile Methodologies, Keras, AWS, Application Resiliency, Scikit-learn, CI CD, Security, ADLC Agentic Driven Life Cycle, operational stability, enterprise-authorized AI-assisted software development tools, responsible AI use, database querying languages, software engineering concepts, data engineering practices, modern programming languages