Rahim Sheik Email & Phone Number

• Experienced Data Engineer Lead: Over 12 years of proven expertise in leveraging both on-premise and cloud-based solutions to drive business outcomes effectively.• Designing and Maintaining Big Data Architectures: Spearheaded the design, development, and maintenance of robust Big Data architectures, including data pipelines and ETL processes, to facilitate data-driven decision-making.• Specialization in Data Management and BI Technologies: Proficient in data architecture, ETL development, data warehousing, and Data Modeling, with a focus on delivering comprehensive solutions.• Business Requirement Translation to Data Models: Proficient in translating complex business requirements into conceptual and logical data models to support decision-making processes effectively.• Implementation of Configuration-Driven Data Processing Frameworks: Developed and deployed configuration-driven data processing frameworks using cutting-edge technologies like Spark (Cloudera, Control M, Airflow), Azure Data Bricks Notebook (PY Spark with Delta Lake), and Azure Data Factory.• Expertise in Big Data Technologies: Extensive experience (over 6 years) in Big Data technologies including Hive, Hadoop, Impala, NiFi, Spark, Scala, KUDU, PIG, HBase, Kafka, JAVA, and Python.• Proficiency in Azure and AWS Data Technologies: Skilled in Azure Data technologies such as Data Bricks, Py Spark, Azure Functions, Azure Delta Lake, Azure Synapse DW, and AWS Data technologies including EC2, EMR, S3, and Glue crawlers.• Knowledgeable in Airflow and Snowflake DW: Well-versed in Airflow for workflow management and Snowflake Data Warehouse for modern data analytics needs.• Extensive Experience in Data Bricks and Delta Lake: Over 5 years of relevant work experience in Data Bricks with Python, Py Spark, and Azure Synapse DW, and 4+ years in Data Factory and Delta Lake.• Developed NiFi flows to extract data from diverse source systems such as MSDB, Yuga Byte, Dynamo DB, Postgres, Maria DB, MySql, db2, Oracle, and Hive, streamlining data ingestion workflows.• Proficient in CI/CD with Bitbucket and GitHub: Skilled in implementing Continuous Integration and Continuous Deployment (CI/CD) pipelines using Git platforms like Bitbucket and GitHub, ensuring efficient software delivery.• Development Expertise in Control-M: Experienced in the development of job drafts in Control-M for efficient job scheduling and workflow automation.

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  Sri Prakash

  Electrical, Electronics And Communications Engineering