Jp R. Email & Phone Number

- Demonstrating advanced expertise in AWS services, including EC2, S3, EMR, RDS, VPC, Elastic Load Balancing, IAM, Auto Scaling, CloudFront, CloudWatch, and Lambda, to manage diverse cloud resources effectively.- Skilled in designing and deploying data pipelines with Azure Data Factory and Azure Databricks, facilitating seamless data loading into Azure Data Lake, Azure SQL Database, and SQL Data Warehouse, while managing database access.- Possessing comprehensive experience with Azure services like HDInsight, Stream Analytics, Active Directory, Blob Storage, Cosmos DB, and Storage Explorer.- Proven proficiency in supporting Hadoop environments across major distributions, including Cloudera, Amazon EMR, Azure HDInsight, and Hortonworks.- Experienced in developing production-level Spark applications using Spark SQL, DataFrames, Datasets, Spark-ML, and Spark Streaming for data processing and analysis.- Proficient in Python frameworks such as Flask, and adept at utilizing libraries like Pandas, NumPy, Matplotlib, NLP, Scikit-Learn, and Seaborn for data analysis, visualization, and processing tasks.-Skilled in writing Python (PySpark), Scala, and Spark-SQL scripts for data aggregation and development across various data formats, such as XML, JSON, CSV, and Parquet.- In-depth experience with data analysis using HiveQL, Hive-ACID tables, Pig Latin queries, and custom MapReduce to optimize performance.- Comprehensive knowledge of the complete data lifecycle, including Data Acquisition, Data Warehousing (from requirements gathering to design, development, implementation, testing, and documentation), Data Modeling (using Star Schema and Snowflake for FACT and Dimension tables), and Data Processing/Transformation (covering mapping, cleansing, debugging, performance tuning, and Hadoop cluster management).- Hands-on expertise in performing ad-hoc queries, indexing, replication, load balancing, and data aggregation in MongoDB.- Proficient in deploying Kubernetes clusters using CloudFormation templates and PowerShell scripts to automate cloud-based deployments.- Experienced in developing scalable, resilient RESTful APIs, ETL solutions, and third-party integrations for enterprise systems using Informatica.- Well-versed in bug tracking and ticketing with Jira and Remedy, and adept at using Git and SVN for version control.- Collaborative in working with business, production support, and engineering teams to conduct detailed data analysis, foster informed decision-making, and drive analytics improvements.