snowflake , S3, Emr, Redshift, Lambda, Gcp, Databricks, Azure, Python, AWS, Glue, Athena

Metadata Management, Apis, Data Modelling, Pyspark, Sql, ELT, Git, Data Quality, Databricks, Python, Etl, Microsoft Fabric

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, machine learning concepts

Metadata Management, Apis, Data Modelling, Pyspark, Sql, ELT, Data Quality, Databricks, Python, Etl, CI CD, Microsoft Fabric, git-based deployment workflows

data engineering , bedrock , Ml, S3, Redshift, Lambda, ECS, Python, AWS, Api Gateway, Data lakes, GenAI, Step Functions, Ai, EKS, Aurora, SageMaker, Glue, Athena, Data pipelines

Java, Scala, Spark, Kafka, Databricks, Tableau, Azure, Python, Google Cloud, AWS, Flink

data engineering , data warehouses , Java, Scala, ELT, Hive, Spark, Etl, feature stores, Flink, large-scale data processing, feature engineering

snowflake , Github, Machine Learning, Sql, Deep Learning, Tensorflow, Pandas, Pytorch, Numpy, Bitbucket, Spark, Databricks, Python, LangChain, Airflow, scikit-learn, MLflow, graph database, cloud-native solutions

Unsupervised Learning, Tensorflow, Nlp, Pandas, Pytorch, Gcp, Docker, Kubernetes, Python, AWS, LangChain, Airflow, scikit-learn, NoSQL databases, time-series modeling, supervised learning, MLflow, vLLM, LMDeploy, LangGraph, Kubeflow, model risk management, AI governance

Sql, Tensorflow, Numpy, React, Typescript, Pandas, Pytorch, Javascript, Flask, Microsoft Azure, FastAPI, Python, Machine Learning Algorithms, AWS, containerization technologies, Generative AI, Scikit-learn, vector databases, prompt engineering, Generative AI technologies, MLOps practices