About

Jawed Pasha Shaik is a skilled Data Analyst with over 5 years of experience in the Hadoop ecosystem, including Spark, Pyspark, Hive, Presto, Sqoop, Oozie, Pipeline designing, Statistics, and PL/SQL Development. Currently working at Uber, he specializes in exploratory data analysis using Hive, Presto, and Python, solution building using Spark and Pyspark, and data visualization using Matplotlib. He is also adept at creating and monitoring data pipelines using Apache Airflow and building data pipelines to automate interactive and standard reports for finance and accounting needs. Jawed has worked in various domains, including Telecom, Banking, and Transportation. Prior to joining Uber, he worked as a Senior Project Engineer at Wipro and a Consultant at Capgemini. He holds a Bachelor's Degree in Electrical and Electronics Engineering from R.V.R. & J.C. College of Engineering. His core skills include Spark, Pyspark, Hive, Presto, Python, Impala, Sqoop, PL/SQL, Shell Script, Apache Airflow, Control M, and Autosys. He is also proficient in various tech stacks, including SQL, Hadoop, Software Engineering, Data Engineering, Data Science, and Research Science. With almost 10 years of relevant experience, Jawed is an expert in his field and has a proven track record of delivering high-quality results. He is a detail-oriented individual who is passionate about data and enjoys solving complex problems. He is an excellent team player and is always willing to share his knowledge and expertise with others.