SUMMARY

• TEMPHas more than 13 years of experience in software engineering platform and TEMPhas delivered many engineered solutions to business in multiple domains Banking, finance, retails, and Insurance. Expertise in SDLC cycle, driving team to deliver the best - engineered solution in agile methodology and best practices with alignment to business vision and halping customer to meet their business goals.
• TEMPHas extensive experience in complete SDLC life cycle including, Requirement gathering, Analysis, Project Planning, Implementation, Development, Testing, Release planning, Defect handling, enhancement handling, Production support & maintenance and customer communication.
• Expertise in gathering &validating business users requirements the data, prepare functional/technical documents to halp Business/architectural/development team to effectively complete their task
• Very Good understanding on Bank’s applications data and its use cases across regulatory reporting like CCAR, LCR, FDIC and GL&PFT.
• Expertise in data analysis, data consolidating and data profiling using multiple software languages C, C++, Unix, Informatica, SQL server, Oracle, HDFS/Hive/impala, Python, Erwin and OBIEE. And good knowledge on AI and Machine learning.
• Contributions in solution delivery include - Strategic design, evaluation, selection, implementation and support of major databases and metadata structures and products &tools; reviews and evaluates application performance, feasibility studies, prototype development and Implantation (inception to story getting delivered into production), well recognized by customers and internal organization management; performance rated as Outstanding almost all the time
• Hands-on experience in Data Quality planning & design to produce engineered Scalable and high-performance DQ design for real-time data analytics solution architecture design.
• Expertise in driving the modernization of the architecture and design of the data & analytics technical track, including traditional and modern data stores and data engines, MDM and analytical/BI reporting capabilities including multiple database technology, Query performance optimization, writing complex join queries. Troubleshooting technical issue at grass root level
• Very good in building strong relationships between teams within IT Solutions and between IT Solutions and related business teams and maintains professional relationships with peers in other corporations and outside organizations.
• TEMPHas very good leadership skills, act as a mentor to the team to build very high-performance team and enabler for team to deliver best, optimized, engineered technical solutions to business.
• TEMPHas strong communication and influence skills when interacting with all levels of the organization starting with senior leadership on down to the team members

TECHNICAL SKILLS

• Banking Applications- Deposit systems, Commercial /Instalment loan systems, General ledger (GL), Master data management (MDM) and Data relationship management (DRM) systems.
• Functional Skills: GL Reconciliation (GL rec.), CCAR(Comprehensive capital analysis) and FDIC(Fiduciary deposit insurance Corp) and Profitability(PFT).
• Risk, Finance & Regulatory domain knowledge.
• Enterprise Application Integration Architecture, ETL (Informatica, ODI etc.) OBI reports
• Enterprise Data Warehouse with Data Warehouse Technologies and data modeling.
• Agile techniques like: User Stories, Continuous Integration, TDD, working in PODS.
• QA Assurance: Test planning& Execution. Handling Defect triage process. Evaluate Test Maturity Model(TMM) model and improvement.
• Financial Services Analytical Applications (OFSAA), SQL server, Tera data, Unix, Hadoop and Python.
• Oracle Business Intelligence (OBI), D2k, Control-m and CA7
• ETL- ODI Informatica, Data modeling-Erwin.
• Estimation function point, Story point
• Hadoop/Big Data
• Estimation function point, Story point
• Jira, MS Office and HP Quality control
• OLTP and OLAP modeling
• Data migrations, homogenous and heterogeneous
• On-Premise data center, Cloud solution architecture Data analytics.
• Data migrations, homogenous and heterogeneous

PROFESSIONAL EXPERIENCE

Confidential

Lead Data Analyst

Responsibilities:

• Work as data steward in Risk & Regulator Compliance Technology department.
• Work on bank applications &application users to understand &evaluate source system data required for different regulations.
• Work with architecture team to design centralized, scalable and efficient data model which can source different bank wide regulatory reporting requirements like CCAR, FDIC, GL, LCR and PFT
• Work with different stakeholders across the bank to review, evaluate, compare and select centralized regulatory solution/software product which can be implemented for bank wide regulatory reporting.
• Create mapping document with transformation logic from source applications to Centralized data model.
• Create data quality rules, data quality exceptions and data lineage documents.
• Work with technical team, architecture team, business team on technical issues and resolutions.
• Participate in Architectural review sessions, participate in design review sessions, Suggest alternative technical solutions to meet client requirements more efficiently, and/or with greater reusability, and/or longer life.
• Debug OFSAA Batch failures which are combination of T2Ts, Data transformations (DT) and business rules to identify data issues and its potential on end results.
• Communicate data quality issues and its impact on end results business users to prioritise them in defect triage process.
• Attend defect triage meetings on resolution process and continuous improvement
• Guiding and coaching team members and competency building within the team to deliver task successfully.