Satyam Agarwal

Data Engineer having 4+ years of experience in Big Data analytics and Data Warehousing using Hadoop Eco system tools, SQOOP, Hive, Spark, Scala, Unix Shell Scripting, SQL, Azure and Oracle. to enable a better data integration ,aggregation and reporting process.

• Experience in creating SPARK programs with use of dynamic memory allocation and in memory computation to ensure robust transformations.
• Experience in implementing partitioning, bucketing, vectorization, cost based optimization, indexing and various optimization techniques to improve the performance of Hive queries.
• Experience in writing shell scripts and automating the spark and hive workloads using UC4 Automic Scheduler in the production system Experience with different file formats and handling the structured and nonstructural data using HIVE.
• Working experience in Agile and SAFe environments. Having a decent knowledge in Machine Learning and experience on several algorithms like Regression, Decision Trees and Neural Networks
• Responsive expert experienced in monitoring database performance, troubleshooting issues and optimizing database environment. Possesses strong analytical skills, excellent problem-solving abilities, and deep understanding of database technologies and systems. Equally confident working independently and collaboratively as needed and utilizing excellent communication skills.
• Complex problem-solver with analytical and driven mindset. Dedicated to achieving demanding development objectives according to tight schedules while producing impeccable code.

• Machine Learning Course by Stanford University (Coursera)
• Object-Oriented Programming by EdX

Gym, Listening to music. Spending time with family