Rahul J Email & Phone Number

• Skilled Python developer with 9+ years of hands-on experience designing, developing, and delivering innovative solutions using Agile, SCRUM, and Test-Driven Development (TDD) methodologies.• Experience with Design, code, and debug operations, reporting, data analysis and applications utilizing Python.• Strong experience in Python, Numpy, Pandas, PySpark, Spark, Scala, Big data for ETL • Integrated Development Environments like PyCharm, Eclipse, MyEclipse, JDeveloper and RAD.• Experienced in developing web-based applications using Python, QT, C++, XML, CSS, HTML, DHTML.• Experienced in developing for and deploying to cloud-based environments, specifically AWS and EC2.• Experience in writing Subqueries, Stored Procedures, Triggers, Cursors, and Functions on MySQL and PostgreSQL databases.• Experience on BIG DATA using HADOOP framework and related technologies such as HDFS, HBASE, Map Reduce, HIVE, SPARK, SCALA, SCALDING, KAFKA, PIG, FLUME, OOZIE, SQOOP, and ZOOKEEPER.• Experience in data analysis using HIVE, Pig Latin, HBase,and custom Map Reduce programs in Java.• Experience in training people on Bigdata and Cloud technologies.• Experience in writing custom UDFs in java for Hive and Pig to extend the functionality.• Excellent understanding /knowledge on Hadoop (Gen-1 and Gen-2) and various components such as HDFS, Job Tracker, Task Tracker, Name Node, Data Node, and Resource Manager (YARN). • Experience in managing and reviewing Hadoop log files.• Experience in working with Python editors like PyCharm, PyScripter, PyStudio and used Pylint extensively.• Experience in Microsoft Azure cloud platform and merge with Python to store the data into cloud with High security.• Experienced Amazon AWS tools like AWS Lambda, Snowflake DB, EMR, IAM, EC2, S3, SNS, VPC, Redshift, Athena, CloudWatch which provides fast and efficient processing of Big Data. • Worked extensively with Dimensional modeling, Data migration, Data cleansing, Data profiling, and ETL Processes features for data warehouses.• Azure Data Services: Extensive expertise in Azure Data Factory, Azure Synapse Analytics, Azure Databricks, and Azure Blob Storage.• Built real-time Big Data solutions using HBASE handling billions of records. • Experience in code enhancements in Opensource projects.