To help friends seeking help in Big Data and Analytics world,
• Possess 6.5 Years of professional IT experience.
• Proficient in Data ecosystems (Hadoop, Spark, Hive, Sqoop, Python) and Data Analytics.
• Well versed with Machine Learning algorithms & Predictive Modelling.
• Experience with building data pipelines in distributed environments with technologies such as Hadoop, PySpark, Oracle etc.
• Proficient in Data Warehousing and have a very good understanding of ETL concepts.
• Hands-on experience in SSIS, Python (pyspark, NumPy, pandas, scikit-learn, matplotlib)
• Created UAT test cases, organized and facilitated UAT testing, track test results, and work with the scrum master and agile team to resolve issues
• Works with the product, financial control, analysts, users, and other stakeholders to understand business requirements and translates them into data acquisition strategies.
• Excellent communication & management skills and curious about frontier technologies.
Work Terms
Let's discuss work terms after hearing the requirement.
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