Data Governance, ETL process design, data storage solutions, data integration techniques, distributed computing environments, cloud-based data platforms, data quality best practices, Microsoft Azure Databricks, data pipeline architecture

tokenization , Spark SQL, Apache Spark, Git, Ocr, Python, Hugging Face Transformers, Text Extraction, PDF Parsing, Vector Databases, Document Chunking, CI CD practices, Data pipelines, NLP concepts, Text Processing, HTML Parsing, ETL workflows

Java, S3, Data Modeling, Scala, AWS Glue, Emr, Redshift, Sql, Apache Airflow, Lambda, Kinesis, Python, AWS, FireHose, ETL Pipelines, IAM Roles

graph databases , object storage , AWS Glue, Data Modeling, Sql, Non-relational databases, Column-family databases, IAM roles and permissions, Key-value stores, Data stores, ETL pipelines

data engineering , graph databases , object storage , python, AWS Glue, Data Modeling, Sql, Warehousing, column-family databases, key-value stores, IAM roles and permissions, non-relational databases, ETL pipelines

snowflake , Pyspark, Apache Spark, Informatica, Sql, Azure Synapse, Azure Data Factory, Gcp, Databricks, Azure, Talend, AWS, Big Query, MLlib, Event Hub, CI CD pipelines

.Net Core, Web Api, Kafka, Mapreduce, Nosql, Entity Framework, Python, Hadoop, Sql, Data Warehousing Design, Hive, Cloud, Powerbi, Spark, MongoDB, Azure, Airflow, Azure Database performance tuning, MLflow, Zilliz, LLM Pipelines, Kubeflow, Data Quality testing automation, RAG Architectures, SageMaker Pipelines, Micro Services Architecture, ASP.NET Core, Milvus