Data Engineering: Strong experience with Hadoop ecosystem (Hive, Impala, Spark, Kafka,

• \tIceberg, Ranger, Atlas), Teradata and data pipeline orchestration.

• \tFull Stack Development: Proficiency in Python, Shell scripting, REST APIs, and web

frameworks (Flask, React, etc.).

• \tMachine Learning & AI: Hands-on experience with ML platforms (CML), Spark MLlib,

• \tPython ML libraries (scikit-learn, XGBoost), and model deployment.

• \tGenAI/LLM Applications: Familiarity with building applications using large language models

• \t(e.g., OpenAI, Hugging Face, LangChain) for enterprise use cases.

• \tSecurity & Governance: Experience with enterprise data security (LDAP, Kerberos, RBAC), data masking, and access control.

• \tPerformance Tuning: Proven ability to optimize data applications and queries in large-scale environments (Hadoop, Teradata).

• \tTools & Platforms: Cloudera Data Platform (CDP), Informatica, QlikSense, Apache Oozie,

Git, CI/CD pipelines.

• \tSoft Skills: Strong analytical and problem-solving skills, excellent communication, and ability

to work in cross-functional teams.