graph databases , object storage , Aws S3, Sql, Data Modeling, AWS Glue, End-to-end lineage, ETL pipelines, Zero ETL, Column-family databases, anomaly detection, Automated data quality frameworks, Non-relational databases, Real-time observability, Self-healing workflows, Key-value stores, Data mesh, Automated root cause analysis, Full CD Pipeline

Java, Cassandra, Avro, Code, MySQL, MongoDB, Python, Parquet, Airflow, OLAP data stores, LLMs, Go, Gradio, Claude, Looker, Iceberg, GitHub Copilot, Streamlit, Data lakehouse architectures

snowflake , Aws Services, Pyspark, Jira, Sql, ELT, Agile Methods, Spark, Gitlab, Python, Etl, Airflow, AWS CodeCommit, dbt

statistical data analysis , Databricks, Spring Boot, Emr, Java, AWS Glue, Data Warehousing, Hadoop, Pyspark, Kafka, Python, Kubernetes, AWS EKS, Flask, Spark, ETL data pipelines, Flink, Data lakes, Data frameworks, Data engineering concepts, Real-time data processing, NoSQL databases

Pyspark, Github, SAP, Hadoop, Workday, JIRA, Sql, Hive, Gcp, Bitbucket, Spark, Databricks, Azure, AWS, Salesforce

MySQL, Kafka, Redshift, Python, Sql, AWS, Airflow, dbt

Spark, Data Lake, Python, Sql, Apache Ranger, Trino, StarRocks, Apache Hudi

data engineering , snowflake , AWS Glue, Sql, Gitlab, Python, AWS, dbt, Airflow

Sql, Data Governance, Nosql, Data Security, Data Quality, Real-time data processing, data models, Data pipelines

Nosql, Sql, Data Governance, Data Security, Data Quality, Real-time data processing, data models, Data pipelines