catalog , object storage , Scala, Pyspark, Data Modeling, Sql, HADOOP, Spark, Databricks, Python, Aws S3, ML feature pipelines, Lakehouse patterns, Data quality concepts, Cloud data ecosystems, Data governance tooling, Model deployment patterns, Lineage, PII handling patterns, MLOps concepts

Hadoop components (HDFS, Hive, Yarn, Spark, Shell scripting, Impala, Python, Data Warehousing, Scala, Distributed computing architecture

snowflake , Sql, Pl Sql, Ibm Datastage, Unix Shell Scripting, Apis, Data quality validations, Reporting datasets, Airflow, Data transformations, data models, Data pipelines

Azure Data Factory, Powerbi, Pyspark, Azure Databricks, Python, Sql, OOPS Concept Implementation

Matplotlib, Sql, Tensorflow, Azure Data Factory, Tableau, Pyspark, Numpy, Pandas, Seaborn, Power Bi, Pytorch, Dax, Power Query, Python, Scipy, Git, XGBoost, Microsoft Fabric, Scikit-learn, Azure OpenAI, LangChain, OpenAI APIs, GenAI tools, Plotly

MSBI stack - SSIS, Agile Methodology, Hadoop, Power Bi, Ssrs, Tableau, Data Warehouse, Sql, Sdlc, Ssas, Spark, Dax, Oracle, MDX, Business Intelligence solutions, Lake house

MongoDB, Sql, Django, Grafana, Pandas, MySQL, Sqs, Web Scraping, Scrapy, Git, Flask, Javascript, S3, Apache Airflow, Apache Spark, Aws Lambda, Selenium, Numpy, Postman, Sns, Python, Docker, Ec2, Apis, Elasticsearch, Sentiment Analysis, Cloudwatch, EKS, information extraction, NER, Embeddings, OpenAI GPT, Jupyter, VS Code

snowflake , Databricks, Sql, Ml, Data Modeling, Adf, Hadoop, Pyspark, Kafka, Etl, AWS, Python, Azure, Informatica, Gcp, Big Data, Scala, Spark, Ai, Teradata