Technology Lead Resume

PROFESSIONAL SUMMARY:

Technology Lead with 7+ years of fashion retail industry experience in all phases of SDLC with specialization in coding following Agile SCRUM and Waterfall methodologies. Excellent expertise in Oracle PL/SQL programming, Unix scripting, XML. Good knowledge of containerization, service - oriented architecture, CI/CD Pipelines, cloud computing, markup languages, open-source technologies/tools/version control systems. Familiar with windows services, TIBCO, Micro-Strategy and ETL tools.

SKILL:

Programming Languages: PL/SQL, SQL, C, C++, Pro*c, Core Java.

Scripting Languages: UNIX scripting, Java Script, Node.js.

Web Languages: HTML, XML.

Databases: Oracle 10g 12g.

Version control systems: GIT, Dimensions.

CI/CD Pipeline: Gitlab.

Container platform: Docker.

Telemetry: Grafana dashboard, tableau.

Jira, qtest, Control: M Workload Automation, Soap UI, Eclipse, MS Office, Jenkins, rundek, WinSCP, FileZilla, Putty, PuttyGen, SQL developer, Toad for Oracle, eSmart, Service-now, Pager- duty, textpad, notepad++, brackets, Atom, intellij.

Cloud tech: AWS, Kubernetes.

ETL Tool: Apache NiFi

WORK EXPERIENCE:

Confidential

Technology Lead

Responsibilities:

To deal with the monthly/quarterly financial results of transactions taking place in the various merchandising processes, which includes buying, selling, price changes, stock adjustments, transfers and the like.
To handle the monthly/quarterly corporate reporting.
To participate in Key enhancements, customer requirements and business needs.
To analyze and fix the discrepancies found in month end validations by business. A few examples -
High shrinkage then estimated.
Loss of transactions like, Sales, Orders, Transfers, etc.
Vendor related issues e.g., returns, payments.
Reconciliation issues.
Journal/clearing account issues.

Confidential

Technology Analyst

Responsibilities:

Developed both inbound and outbound interfaces to load data into targeted database and extract data from database.
Wrote Unix Shell Scripts for scheduling jobs in Unix/Linux.
Wrote PL/SQL Programs using almost all sort of advance techniques available in the language.
Mentored the developers in the team by providing technical and functional solutions.
Wrote generic batches which are used to execute any SQL, KSH, Pro*C. spool and SCP/move the files.
Archiving/Purging of data for any required table with any criteria.
Performed independent unit testing and coordination with cross teams during integration testing.
Supported warranty of the code after the Prod deployment.
Documented and transitioned it to Prod support team.
Worked extensively on
ORIB (XML based Oracle Retail integration bus) which is used to transfer data in the form of XML messages between different systems.
SOAP based web services build using the Oracle Retail Service Enabler framework, which requires backend intensive PL-SQL coding to populate “OBJECT TYPES” which are mapped to XML attributes.

Confidential

Senior System Engineer

Responsibilities:

To support multiple applications(RMS/EPM/RIB/ReIM/SIM/RSS) and providing technical and domain level solutions to business.
Interact with cross functional teams to fix Production data issues.
Write quick ad-hoc codes/fixes to resume the aborted data flow.
Effectively maintained the availability of the oracle retail applications for the Business operations.
Handling of special events like Anniversary, Promotional Events and Physical Inventories, which are implemented through Special Batch Scheduling.
Tuned the low performing batches to reduce the batch cycle timings.

Confidential

System Engineer

Responsibilities:

Built a custom bot for users Self-service, implemented using the collaboration tool Slack.
This has replaced the traditional process of creating incidents and Jira’s. It allows users to track the status of vendor payments in real time.
Optimized the month-end processing which used to run for 6-7 hrs. Now, it runs only for 2-3 hrs.
It helped downstream systems/business to validate and sign off the monthly finance results in their schedule time.
In-depth analysis on incidents and fine-tuned long running jobs. resolved recurring job aborts which helped to reduce around 50 incidents per month. ultimately, making the system stable.
Fined tuned some of the jobs which were running for more than 3 hrs. Now, they run only for 10 minutes.

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