Golam Murtuza

Total 6 years (2 Yrs. 10 months in Wipro, 1 Yrs. 2 month in Teradata,1 Yrs. 2 Years in Cognizant) of profession experience Hands on experience in DATA migration Related Projects. Hands on with implementations and knowledge of efficient data structures, algorithms. Working knowledge of relational databases MS-SQL, Oracle, Teradata RDMS with good SQL commands. Proficient understanding of code versioning tools like GIT.

• Associate - Projects, Cognizant Technology Solutions India Pvt. Ltd, 01/2022, Present, Done PySpark and AWS training, complete all the assignments. Learn about basic of python, AWS services (s3 bucket, glue, crawler, amazon redshift, amazon kinesis, AWS RDS)
• Project –AIG-OPS-CONDUCT, 04/2022, 11/2022, Used Technology –MS ACCESS, SNOWFLAKE, TERDATA, ORACLE DESCRIPTION OF THE PROJECT: AIG OPS-CONDUCT is a Automate project from different DB sources To Snowflake. ROLE: As a developer I worked on the data modeling activities, Requirement analysis, ETL work.
• Project –T-Mobile-TD to SF Migration, 11/2022, 12/2023, Used Technology –Teradata, Snowflake, Jira, Control-m, SQL, Json DESCRIPTION OF THE PROJECT: It is a Migration Project from Teradata to Snowflake. ROLE: As a developer I worked on the Job development, testing, Job scheduling and supporting the PRL environment. Worked on defect analysis and fixing all those with proper agile environment.
• Software engineer, Teradata India PVT LTD., 11/2020, 12/2021, Teradata Lab R&D Working On Teradata R&D vantage core Division, Part of the team for the kernel development, query optimizer, SQL tunning, Distributed System. Environment: C, C++, Java, python, Linux/UNIX, Windows, Git, Jira, Antares AWS cloud, Safe- Agile. Teradata is a shared-nothing, highly scalable and massively parallel Relational Database Management System (RDBMS) used by fortune companies for large data warehousing applications. Work on Database kernel components and Database internals Work involves parser, optimizer, and execute phases of the SQL query. work on a large codebase that is complex starting from query parser, query re-writing, to table operator (UDF) enhancements. design/develop SQL-MR (a map-reduce like programming paradigm) UDFs that run on large volumes of data. work on table operator (UDF) framework, that gets best of both worlds (i.e., SQL and domain specific enhancements) and which is polymorphic and self-describing. work on the analytic framework that allows the UDFs to run natively on database, also support UDF in Antares cloud (AWS) platform. Automated python Script to run multiple test script from a single file based out of control path location.
• Project Engineer, Wipro Technologies, 02/2018, 10/2020, Project is to develop the complete flow of data from the vehicle ECU to display the GUI on the instrumentation cluster dashboard. Several signals are populated based on vehicles motion, internal and external sensors which are to be converted to data and cascaded on to the upper layers for graphical representations. Environment: C, C++, OOP, STL, Multithreading, Linux/UNIX, Windows Engaged on to work in graphical processor team. The key responsibility is to parse the data from the vehicle processor and implement in C++ to map it to correct module and forward the data to the top layers which has Altai integration for the graphical representations on the cluster. Held meetings with vendors and management to outline new business requirements and translate them into technical specifications and tasks. Designed, developed, and tested software modules meeting deadlines and budgets. Specified, prototyped, developed and tested an object-oriented, multiplatform C++ framework containing support to: data structures, common algorithms, IPC, threading, boost library. Fixed bugs and developed highly efficient algorithms in C++ through both pair-programming and independent work. The algorithms improved the benchmarks by almost 25 percent. Reduced support costs by providing dozens of enhancements for existing features of the running module on embedded system-instrumentation cluster platform. Tactics included troubleshooting, root cause analysis, bug fixing and refactoring. Analyzed code to identify and improve performance bottlenecks and contingencies with shared resources. Maintained code quality and was involved in maintenance of resolving and code review of issue fixing into local Git.
• Project –Cisco C vision, Used Technology –Rest API, Karate Framework, API testing. DESCRIPTION OF THE PROJECT: I connect is a Cisco Vision project basically meant to Automate the API link all the. It also provides information about all the IOT Instruments to the Gateways. It helps to create Entity, Admin, User and the Gateways. It also monitors all the admins and reports their activities to the Global Administrator. ROLE: As a developer, I have worked on creation of gateways, fetching all the data’s of the gateways, monitoring the creation/updating/ deletion of the entities, gateways, instruments, listing all the instruments related to gateways and deleting it if they are not connected, validating presence of the user ids, listing all the user, listing all the previous uploaded software’s, sending emails to Admins that should be concerned, deleting/ activating/react inviting the entity and written various test Case scenarios using karate automation Testing framework.

• Cricket

• Best trainee award in Wipro

• Safe Agile
• Big ID