Robust Data Foundations & Analytics: Fueling Insight & Growth
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Enterprise Data Engineering Excellence:
Design, build, and optimize scalable ETL/ELT pipelines using leading platforms like Snowflake, Hive, Hadoop, and Spark, ensuring seamless data ingestion, transformation, and readiness for advanced analytics and AI model training.
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Real-time Data Stream Processing:
Implement high-throughput, low-latency data streaming solutions with Kafka and Spark Streaming, enabling real-time monitoring, immediate insights, and instant responsiveness to critical business events.
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Optimized Data Storage & Management:
Architect and manage resilient data ecosystems across SQL (PostgreSQL, MySQL, Oracle), NoSQL (MongoDB, Cassandra), and Big Data (HDFS, Hive) environments, ensuring data integrity, accessibility, and performance for massive datasets.
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Data Migration & Modernization:
Seamlessly migrate legacy data systems to modern, cloud-native architectures, preserving data integrity and enhancing analytical capabilities.
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