Postgres, Machine Learning, Kafka, MLops, AWS, Artificial Intelligence, Automation, Kubernetes, Python, Continuous Delivery, Software Development Life Cycle, Docker, Relational Databases, Pipelines, AI-assisted software development tools

Postgres, Machine Learning, Kafka, MLops, AWS, Artificial Intelligence, Automation, Kubernetes, Python, Continuous Delivery, Software Development Life Cycle, Docker, EKS, Relational Databases, Pipelines

Unix, Jenkins, Devops, Cloud, Virtual Machines, Scheduling Tools, Oracle, Python, Sql

Machine Learning, Tensorflow, Nosql, Pytorch, Docker, XGBoost, Flask, Python, AWS, Hadoop, Sql, MLops, Gcp, Spark, FastAPI, Azure, Kubernetes, Airflow, IOT Analytics, MLflow, Vertex AI, Kubeflow, Scikit-learn, SageMaker, DVC, CI CD pipelines

Java, T-sql, Hadoop, Scala, SQL Server, Kafka, Sql, Jenkins, Azure Data Factory, Docker, Terraform, Spark, Databricks, Azure, Kubernetes, Python, AWS, Airflow, ATLAS, Great Expectations, Glue, Delta Lake

Git, MySQL, PostgreSQL, SQL Server, Restful Apis, Python, Sql, Pytest

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

Django, Amazon Web Services, Flask, Python, Sql, AWS

S3, Golang, Mulesoft, Mongo Db, Django, Numpy, Flask, Postman, Python, AWS, Postgres DB, Logging library Datadog, API Management tool, Datadog API, Asynch.io, GRPC

Hive, Hadoop, Pyspark, Spark, Python, Sql, Etl