data compression , Distributed Computing, Software Development, Technical Leadership, Natural Language Processing, Information Retrieval, Networking, Storage, Artificial Intelligence, Distributed Systems, User Interface Design, middleware, compute technologies, People Management, large-scale infrastructure, Security, Team Leadership, scalable distributed infrastructure, Hardware Architecture, large-scale system design

systems design , Databases, Networking, configuration management, Distributed Systems, automation, Azure, Kubernetes, AWS, cloud-native containerized infrastructure, modern data platform technologies, infrastructure as code

snowflake , Data Analytics, Data Warehousing, Asana, Tableau, Data Modeling, Jira, Sql, Python, modern data stack, StatsSig, program and project management tools, Linear, analytics engineering, technical program management, ML lifecycle, dbt, ELT pipelines, ML engineering, Notion

Customer-facing Order Tracking, Fulfilment Operations, Data Pipelines, Warehouse Workflows

Java, Ml, API design, Nlp, Distributed Systems, System Design, GenAI, LLMs, Ai, prompt engineering, Production Operations, RAG architectures

Power Bi, Apache Spark, Databricks, Azure, Python, Sql, CI CD for data pipelines, Delta Lake, SoDA, Atlan

data engineering , Flexplm, Technology PMO practices, Vendor spend management, Microsoft D365 Supply Chain Management, Blue Yonder SCPO

data engineering , Java, S3, Hadoop, Scala, Nodejs, Big Data Technologies, Emr, Data Modeling, Redshift, Sql, Hive, Ec2, Spark, Python, AWS Tools, ETL pipelines

Streaming, System Design, Data Architecture, API design, schema management, data pipelines, CDC connectors, engineering tradeoffs