FAIZAAN SADEKAR

-> Projects Worked On: IFRS9 Client – Barclays (Jan 2023 - Oct 2025). Domain – Banking.

• Developed and optimized data processing pipelines using Apache Spark and Scala.
• Applying transformations and actions to achieve the desired result, as per the requirement.
• Unit testing of the code.
• Continuous maintenance of the code, and pushing it into the repository.

-> Projects Worked On: Migration (CDH to OSH) Client – Barclays (Jun 2024 - Oct 2025). Domain – Banking.

• Writing automated shell scripts to verify the data and counts.
• Verification of the generated code for configuration issues and execution.

-> Projects Worked On: IFRS9 Client – Barclays (Jan 2023 - Oct 2025). Domain – Banking.

• Developed and optimized data processing pipelines using Apache Spark and Scala.
• Applying transformations and actions to get the desired result as per the requirement.
• Unit testing of the code.
• Continuous maintenance of the code, and pushing it into the repository.

-> Projects Worked On: Migration (CDH to OSH) Client – Barclays (Jun 2024 - Oct 2025). Domain – Banking.

• Writing automated shell scripts to verify the data and counts.
• Verification of the generated code for configuration issues and execution.

-> Projects Worked On: RCL (Regional Consolidation Layer) Client – Deutsch Bank, Germany (Feb 2019 – Jan 2021) Domain – Banking

• Reports to the federal government.
• Deutsche Bank submits audit reports to the government, and the data scrutiny, transformation, and correction happen through RCL.
• Getting the requirements and doing analysis based on the requirements.
• Generating reports based on the different attributes for different sources, and providing a data transformation on them.
• Used the Spark transformation and actions on the data frames to fetch the records based on some conditions.
• Saving data in different formats and in different files, based on the record count.
• Used Kafka to get the data from a Java API, generate reports, and pass them to the Destination Source Stream, which is a Java API.
• Resolved the issues and enhancements in quick succession.
• Worked on the insertion of data into three different layers – ingestion, processing, and publishing – based on various conditions and different environments – Oracle, Hive, and Impala.

-> Projects Worked On: ECM (Exception Correction Management) Client – Deutsch Bank, Germany (February 2021 – June 2021) Domain – Banking

-> Projects Worked On: CASCADE Client – Fedex, Memphis, USA (Sept 2017 – Jan 2019) Domain – Retail and Logistics

• Ingesting Data into Big Data Lake by Creating Source-Target Pipeline to move Data from Oracle Using and From Flat Files.
• Handling of Semi-Structured data Like XML and Json and ingesting the data into HDFS.
• Being a Data Steward, I analyze the data and provide insights on the data.
• Worked on web crawling to fetch the data from different websites using Python i.e. Finding data ranges using Python.
• Parsing of log parsing using MapReduce Java code and creating an entire pipeline to insert data into the Hive table.
• Analyzing the data, gathering the requirements to insert the data into HDFS, and creating pipelines on top.
• Automation of most of the processes that were being used in the process using Python and Shell.
• Data Analysis and Unit Testing.
• Creating Big Data Pipelines using the DataIKU tool.
• Creating an automation job for incremental data load from Sqoop using one automation tool.
• Worked on creating Spark jobs using Scala for executing test cases.

-> Projects Worked On: GBT – Global Business Travel Client – AMEX, Phoenix. (Mar 2016 – Aug 2017). Domain – Banking and Financial Services.