Software Engineer Resume

SUMMARY:

Over 7 years of experience in designing and developing data management processes over On - Prem and Azure BI stack.
Experienced in data consolidation from varied data sources into the Confidential stack and building analytics and self-service capabilities for stakeholders.
Leading the impact and change management for complete transition of legacy applications backend systems to PaaS for Confidential HR team.
Have a strong grasp on Machine Learning concepts and looking for opportunities to leverage the same.
I am passionate about everything data and would love to work on data modelling and solution designing.

WORK EXPERIENCE:

Confidential

Software Engineer

Responsibilities:

Led the business reporting transition from on premise SSAS solution to Confidential with multifold performance improvement
Became the first team in entire Confidential IT to move completely to Confidential within 4 months of its beta launch.
Single handedly migrated 21 tabular models to Confidential and corresponding Power BI reports connected to them.
Migration to Confidential led to a gain of minimum 40% per model in terms of performance.
Got recognized from business for the work done for Diversity data model which was almost unusable in production
Worked with Data Mall team to identify and fix the issues with ITA security groups and AAD accounts while migrating to Confidential
Worked on the migration to PaaS of a high volume, domain processes intensive project of Managepoint HR module.
End-to-end ownership of domain, freeze period implementation and production issues in the migrated MPHR system
Monitored a partner team of over 20 people and took daily status updates for the work assigned
Implemented multiple process and gated checks to improve the software maintainability and delivery
Highlighted the possible bottlenecks in the current system and processes and got pro-active approval for mitigation plan
Worked closely with MPHR team to understand existing BI component and in the process uncovered the engineering excellence gaps in their process. Provided feedback on the process standards and helped them fix those gaps.
Providing critical feedbacks and review comments to the team members on query and solution optimization techniques for SQL
Collaborated with HRBI team to decide the strategy on MPHR Tabular model migration and simplify overall architecture by avoiding need of IaaS Server.
SME for Confidential and worked directly with business on multiple occasion for production related queries
Collaborated with product team for Confidential and provided critical inputs for product improvement/enhancement
Providing inputs to other teams within HR domain on topics like RLS, CLS, ITA groups, AD vs AAD
Working on re-write of existing Confidential (Global Human Resource Operation) system.
This involves a platform re-write to align with the HR Future State Architecture and in the process, move the whole system to PaaS with the long term goal of retiring Confidential, MPHR and MSPeople.

Confidential

Senior Analyst - BI

Responsibilities:

Manage End to End flow of Data from hybrid data sources (SAP BW, MDS, Flat Files) to SQL 2014 data warehouse.
Develop and maintain SSAS 2014 tabular models on the DW for serving as backend to Power Pivot and SharePoint reports for system users, and DataZen reports for iPad/iPhone mobile users

Confidential

Senior System Engineer

Responsibilities:

Developed SSAS cubes for one out of 60+ applications hosted on Confidential portal:
Worked on a complex database server with over 50 databases covering 10000+ tables and data objects built on them
Led the development team of 4 members to implement business requirements using Cold Fusion and SQL Server
Coordinated with component designers in requirement optimization, improvements at component and interface level.
Maintained Data Warehouse by performing ETL process on feeds received from several source systems.
Developed new SSIS packages and maintained the existing ones.
Proactively recognized and resolved deadlocks between SQL Jobs, blocking issues and wait stats.
Achieved value-add of 18%, by automating everyday tasks.

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