data engineering , snowflake , Machine Learning, Exploratory Data Analysis, Power Bi, Hypothesis Testing, Tableau, Sql, Data Integration, Deep Learning, Data Analytics, Python, Statistical Analysis, Generative AI, Data Pipelines, AI Automation, ETL Workflows, R, Agentic AI, Dashboard Creation, Azure Stack services

Spark SQL, Scipy, Pyspark, Azure Databricks, Numpy, Pandas, Azure Data Lake, Python, RDDs, Databricks Notebooks, MLflow, DataFrames, Synapse Analytics, Delta Lake, Blob Storage, Spark Pools

Pyspark, ETL process design, large-scale data processing, Databricks Unified Data Analytics Platform, distributed computing environments, cloud-based data platforms, Python Programming Language, data pipeline architecture

file formats , Logging, Pyspark, Data Modeling, Redshift, Sql, Git, Data Quality, Spark, Python, AWS, Apache Iceberg, DBT Cloud, Monitoring, alerting, Lakehouse Data Lake architectures, partitioning, observability

snowflake , Github, Kafka, Json, ELT, Python, AWS, Apis, Power Bi, Csv, Sql, Gcp, Xml, Dax, Azure, Etl, Airflow, Fivetran, Parquet, Airbyte, EventHub, dbt, Dagster, Nifi

snowflake , BigQuery, Redshift, Python, Sql, Airflow, dbt

Git, Oracle Pl Sql, Pyspark, Python

Emr, Spark, Airflow, data marts, cloud-native data platforms, analytical datasets, CDC patterns, schema evolution, data models, data lakes, partitioning strategies, data lakehouse architectures, performance optimization, Athena, AI-assisted engineering workflows

snowflake , Kafka, Data Governance, Concurrency, Code Review, Python, Data structures, Data Warehousing, Sql, Automated Testing, Algorithms, MLops, System Design, Airflow, Go, MLflow, dbt Cloud, Temporal, ETL processes, Kubeflow, Monitoring and observability tooling, Containerized deployments, Workflow orchestration platforms, SageMaker, Cloud-native infrastructure, CI/CD, ML model deployment