Programming Skills: Proficiency in languages such as Python, Scala. Data Ingestion Tools: Knowledge of tools like Apache Nifi and Apache Airflow. Database Management: Understanding of relational databases (e.g., MySQL, PostgreSQL) and NoSQL databases (e.g., MongoDB, Cassandra). Big Data Technologies: Familiarity with Hadoop, Spark, Hive, and other big data tools. Cloud Computing: Proficiency in cloud platforms like AWS, Azure. Distributed Systems: Understanding of distributed systems concepts for designing scalable and fault-tolerant data architectures. Presentation Skills: Ability to present project results and technical concepts in layman's language.
| ProfileType | Give Support |
| Primary Technology | SnowFlake, Databricks, PySpark, Azure, AWS, Azure Databricks, Azure Data Factory, Azure SQL Database, Apache Spark |
| Relavent Experiance | 6+ |
| Current Avalibility | Available |
| Mother Tongue | Telugu |
| Gender | Male |
