Leadership & Strategic Vision: Lead data management,software, and analysis strategies, setting the direction for innovation in data engineering within the organization.Data-Driven Decision Making: Spearheaded advanced data management strategies using AWS, Azure, Snowflake, and Kafka to enhance data quality, integration, and accessibility. Directed the shift to cloud infrastructure, optimizing performance and cost-efficiency with cloud migrations and DevOps practices like CI/CD pipelines and containerization with Docker and Kubernetes. Achieved a 30% increase in deployment frequency and a 40% reduction in downtime.Cross-Functional Collaboration: Partnered with leadership, product teams, and vendors to align technology strategies with business objectives. Integrated Salesforce with legacy ERP systems, enabling seamless data flow and improving customer relationship management.Innovation & Technical Excellence: Introduced AI-driven analytics and machine learning models to enhance customer insights and operational efficiency. Fostered a culture of continuous improvement and technical excellence by mentoring engineers and promoting innovation.Cybersecurity & Compliance: Enhanced cybersecurity and regulatory compliance, leading initiatives that reduced security incidents by 25% year-over-year. Implemented a governance framework for data protection, risk management, and incident response.Change Management & Growth: Guided the organization through significant periods of change, including mergers and acquisitions, with effective change management strategies. Scaled the technology team to support business growth, resulting in a 20% increase in IT productivity.

Technical Ecosystem:•Cloud Platforms: Expertise in AWS and Azure, with proficiency in AWS services such as Secrets Manager, AWS Glue, CloudWatch, Lambda, IAM, KMS, Certificate Manager, and Route 53.•Containerization: Skilled in Docker, Kubernetes, ECS, EKS, EC2, and Helm.•Event Streaming: Versatile in Kafka ecosystems and AWS streaming services like MSK, Firehose, Kinesis, SNS, SQS, and EventBridge.•Database & Storage: Command over Snowflake, Postgres, SQL Server, DB2, Aurora, S3, EFS, RDS, and Redshift.•Software Development: Knowledgeable in Spring Boot, JavaScript, ReactJS, HTML, CSS, Maven, and Gradle.•DevOps: Proficient in Terraform, Jenkins, Tomcat, and Ansible.•Data Science & Analytics: Skilled in visualization and analytics tools such as Power BI and Tableau.Key Responsibilities:•Strategic Software Engineering Leadership: help manage the software and data engineering organization ,guide the sub-organization to implement strategic software initiatives across the organization.•Collaborative Innovation: Work with technical teams, industry specialists, and global experts to enhance Fifth Third Mortgage's data capabilities.•Complex Software Solutions: Tackle complex software challenges to develop and maintain advanced mortgage data platforms.•Talent Development: Attract and nurture top software engineering talent, promoting professional growth through visionary leadership.•Transformational Approach: Advocate a ""software and data first"" philosophy to drive transformative changes and accelerate value generation.•Cross-Functional Partnerships: Collaborate with IT and architectural teams to integrate and optimize software solutions organization-wide.•Skill Development Initiatives:Cultivated a culture of continuous improvement and professional growth, launching leadership training programs and mentoring initiatives that enhanced team capabilities and retention.

Technical Ecosystem:•Cloud Platforms: Proficient in AWS and Azure ecosystems.•Apache Suite: Skilled in Kafka, NiFi, and Zookeeper for robust data management and streaming.•RDBMS: Expert in managing and optimizing databases such as Snowflake, Postgres, SQL Server, DB2, and Aurora.•Software Development: Profound knowledge in developing applications with Spring Boot, JavaScript, ReactJS, HTML, CSS, and Maven.•DevOps Practices: Adept in automation and integration with Terraform, Jenkins, Tomcat, Docker, and Kubernetes.•Data Science Tools: Competent in data visualization and analysis with Power BI, Tableau, and Dataiku.Key Responsibilities:•Team Leadership and Inspiration: Motivate 4+ teams, 42+ engineers to deliver on strategy and roadmap for continuous product improvement and growth.•Software Platform Development: Managed end-to-end development of 10+ software platforms, enhancing software security and operational efficiency.•Scalable Software Solutions: Developed and deployed scalable software solutions across 20+ projects, improving data processing and analysis capabilities•Risk Management: Improved risk management processes by consistently identifying and mitigating risks, resulting in a 25% reduction in security incidents.•Data Solution Development and Support: Designed and supported 15 software solutions and APIs, accelerating project delivery timelines by 30%.•Technical Expertise and Collaboration: Spearheaded collaboration with IT and security, integrating software solutions that resulted in a 30% improvement in system performance.•Research and Development: Led R&D initiatives that influenced product development, contributing to a 35% increase in market competitiveness.•CI/CD and Cloud Automation: Automated CI/CD pipelines for 10+ major projects, reducing deployment times by 70%.•Evaluation and Project Planning: Successfully evaluated and planned 12 internal projects, ensuring seamless integration of new technologies.

Technical Ecosystem:Cloud - AWS, Apache Data Stack( Kafka, Hive, Spark)Data - Microsoft SQL Server, MySQL, SSMSData Science - SQL Server Data Tools(SSIS, SSAS, SSRS), Microsoft Power BI, Python, RSoftware Engineering - C#, ASP .Net, Java Springboot, AngularJSKey Responsibilities:•Team Leadership:Help led data engineering and data analytics teams to enhance data reliability and system performance by 40%.•Cloud Architecture Development:Architected high-availability AWS environments, deploying complete VPCs and fault-tolerant databases for 12 projects.• Real-time Data Pipeline Construction:Develop real-time data pipelines for data collection and analytics, including ETL/ELT processes.•Database Administration and Data Preparation:As DBA, ensured 45+ data marts were optimized, directly supporting data readiness for use.•Data Integration and System Development:Managed data warehouse full lifecycle for 12 projects, from design to support, enhancing data accessibility.•Data Warehouse Lifecycle Management:Manage the full lifecycle of the data pipeline and warehouse, from architecture design to implementation and support.•User-Centric Data Solutions:Translated business requirements of 30,000+ users into user-centric data solutions, increasing user satisfaction by 21%.

Environment: AWS, Microsoft SQL Server, Oracle 12g, Oracle SQL Developer, SSMS, SQL Server Data Tools (SSIS, SSAS, SSRS), Microsoft Power BI, Python, R, MySQL• Optimized database storage and utilization by analyzing changing requirements and implementing scalable solutions.• Ensured compliance of database implementations with company policies and external regulations through thorough analysis.• Developed data monitoring models for products and collaborated with the marketing team to create predictive models ahead of new releases.• Authored comprehensive database design and architecture documentation for management and executive review.• Maintained the integrity and security of company databases, implementing best practices in data protection.• Led the enhancement of the overall ETL architecture using Microsoft technologies (SSIS, SSAS, SSRS).• Delivered solutions in high-demand environments and mentored team members with hands-on guidance.• Headed complex ETL requirements analysis and design, optimizing data extraction, transformation, and loading processes.• Collaborated with product development teams and senior designers to develop architectural requirements, ensuring client satisfaction.• Verified solution designs and oversaw the production of all design-phase deliverables.• Mined and analyzed data using Python and R to drive optimization in product development, marketing strategies, and business operations.• Assessed the effectiveness of new data sources and gathering techniques to improve data quality.• Applied predictive modeling to enhance customer experiences, revenue generation, ad targeting, and other business outcomes.• Developed the company's A/B testing framework and evaluated model quality to improve marketing campaign effectiveness.• Coordinated with cross-functional teams to implement models and monitored outcomes to ensure alignment with business objectives.

Key Responsibilities:Data Management and Analysis:Design and implement ETL processes for text analytics.Conduct text mining and analytics using data science tools for tasks like collocation, concordance, N-gram analysis, and word frequency analysis.Utilize machine learning, predictive modeling, statistical inference, experimental design, data mining, and optimization techniques.Perform ad-hoc analysis and clearly present results.Manage large dataset ingestion, custom transformations, and preprocessing using Apache Hadoop tools (Spark, Hive, Sqoop, Oozie, Pig, Flume, Ambari).Design, build, install, configure, and support Hadoop environments.Develop reporting and ETL solutions using SSRS and SSIS within big data environments.Implement cloud solutions, including data architecture and ETL data movement, with Microsoft Azure Data Factory.Data Visualization and Presentation:Present and integrate key information into Azure bot services to enhance intelligence.Design and produce data visualizations using Power BI.Database Management:Deploy and manage Azure SQL databases.Manage and organize data with SQL Server 2016.Team Leadership:Lead, motivate, and managed teams effectively.Technical Environment:Microsoft SQL Server, SSMS, SQL Server Data Tools (SSIS, SSAS, SSRS), Microsoft Power BI, Tableau, Azure, IBM Big Insights, Hadoop, Spark, Python, R, Azure ML, Syncsort.

Environment: Microsoft SQL Server, SSMS, Sybase, Microstrategy, Sharepoint, Microsoft Power BI, SSRS Role: BI Data Architect(MicroStrategy) - Citibanko Implemented financial risk dashboards and UI on a global scaleo Helped development team with back-end, database, and intelligent cube design for MicroStrategy dashboardso Worked directly with VP to further understand business requirements and acceptance criteria then implemented the them back into the application and environmento Employed custom SQL to sort, organize, and query correct data within the Sybase databaseo Supported organizational decision-making by turning disparate data into concise and actionable informationo Used MicroStrategy admin products such as: Object Manager, Command Manager, Intelligence Server/ Web Server administration, Security Roles, and Security Filters

• Determined requirements, designed, built, tested, implemented, maintained and enhanced business systems. • Developed and implemented comprehensive test plans to ensure that systems and programs are tested and debugged. • Determined proper installation parameters for software and hardware, for smooth integration, transition and efficiency. • Analyzed, detected, identified and corrected technical problems and deficiencies. • Monitored and collected data on system performance. • Planned, developed and implemented backup and recovery procedures. • Assisted and trained customers.• Created and implemented various programs with visual basics, java, and c#.

•Strategic Execution: Led marketing campaigns that increased Windows user adoption by 30%. Developed multi-channel strategies that enhanced product visibility and engagement.•Market Analysis: Conducted research to capture market trends and customer needs, informing product enhancements and marketing tactics, improving customer satisfaction by 25%.•Leadership: Directed a team of 15, collaborating with product development and sales to ensure unified branding. Enhanced team productivity by 20% using agile methods.•Budget Management: Oversaw a $5 million marketing budget, optimizing spend to maximize ROI. Implemented cost-saving initiatives that reduced expenses by 10%.•Stakeholder Engagement: Presented strategic plans and campaign results to senior management, securing a $2 million increase in budget for market expansion based on proven ROI.•Campaign Development: Launched 30+ marketing campaigns using innovative technologies like AI analytics, boosting user interaction and product uptake.•Brand Positioning: Strengthened Windows' brand positioning in line with consumer trends and technology advancements, enhancing market share and brand loyalty.

Monitoring and maintaining technology for maximum access, which includes:• Connecting and setting up hardware on location of client• Installing hardware onsite • Moving and setting up computer labs for clients • Loading all necessary software• Troubleshooting and diagnosing hardware problems• Performing repairs on hardware • Troubleshooting network operating system, software and hardware• Strong written, oral and interpersonal skills with a demonstrated ability to communicate with outside clients and internal staff.

Product Line marketing including presentation of concepts, business case, value props, design and development methodology to key stakeholders and executives.Perform Product Engineering, Sales Engineering, and Network Administration roles for launch-phase service lines until sales, engineering, and operations teams are trained and can take over.Collaboratively track and drive year over year growth around product lines under direct controlOversee the product lifecycle for new products and services.Evaluate market competition and position the product line so that it appeals to consumersPlan and execute go-to-market activities and introduce new offerings to the rest of the company.Identify and approach potential technology partners, suppliers, and channel partners.Forecast product performance and development costs.Create new sales and marketing strategies that target customers and positions our products as the best solutions for prospective clientsSupport client sales visits and/or presentations for key accounts and strategic opportunities.Identify areas where we can improve customer satisfaction and repeat business, then incorporate findings into product development activities.Product Line marketing including presentation of concepts, business case, value props, design and development methodology to key stakeholders and executives.

Technical Ecosystem:VoIP Technologies: SIP, RTPNetworking: TCP/IP, UDP, QoSPlatforms: AWS, Azure, Google CloudData Management: SQL, NoSQL, ETL, Data WarehousingSecurity: VPN, Firewalls, Data EncryptionKey Responsibilities:Platform Development and Management: Designed and implemented a robust VoIP infrastructure that supports over 5000 concurrent calls, reducing downtime by 30% and improving call quality. Managed the integration of voice and data platforms with enterprise systems, enhancing overall communication efficiency.System Optimization: Optimized network configurations and introduced Quality of Service (QoS) protocols to prioritize voice traffic, resulting in a 25% improvement in data handling during peak periods. Regularly performed system upgrades and maintenance, ensuring high availability and reliability.Security and Compliance: Conducted comprehensive security audits and enforced policies that led to a 40% reduction in security incidents. Implemented end-to-end encryption for all data and voice transmissions, ensuring compliance with industry standards such as GDPR and HIPAA.Cross-functional Collaboration: Collaborated with IT, network engineering, and customer service teams to tailor solutions that meet the specific needs of business operations. Provided expert guidance and support during critical system outages, minimizing recovery time.Technical Leadership and Training: Led a team of 8 engineers in developing scalable solutions for data and voice communications. Developed training programs on system use and best practices, increasing team proficiency and operational effectiveness.