Data Engineering: Expertise in designing conceptual, logical, and physical architecture diagrams and flows for data engineering, including data ingestion patterns, transformation, warehousing, pipelines, and big data technologies (e.g., Hadoop, Spark, AWS Redshift, Azure Data Lake, GCP BigQuery, Snowflake, Databricks, Synapse), ETL tools (IDMC, Talend, SSIS, FIVETRAN, DBT, Ab Initio, Pentaho, Striim, AWS Glue, Azure Data Factory, Matillion, etc.). AI/ML- Develop customized AI/ML solution architectures across major AI platforms, including MLOps, AIOps, and AI delivery, including data pipeline setup, deployment, training, testing, model selection, and infrastructure considerations based on customer needs.