PROFILE:

• Senior Solution Architect with 20 years of working experience in software engineering and architecture of information technology solution.
• Diverse experience, from planning to delivery and sustaining support to ensure that solution meets established business objectives, time and budget constraints and standards of technical quality.
• Conversion of the requirements into an architecture and design to build the blueprint for the solution.
• Create the vision that underlies the solution and organize the effort to execute that vision into the solution.
• Design how the solution will oak, what the modules will be, how they interact withsignificant people and process skills
• Team lead skills. Provide motivation and guidance to the entire development team during the systems development life cycle.
• Aligning technology with corporate strategies from planning stages to execution.
• Cloud computing, information management, application development, and virtualization.
• Scalability design principles: the3Vs (volume, variety and velocity) and maintenance
• Finding the best tech - stack and frameworks to be used to create absolution
• Describing the structure, characteristics, behavior, and other aspects of software to project stakeholders. And explain to the upper management team the system challenges and problems using simple laymen’s terms.
• Used Quantitative and Statistical analysis as they are significant part of big data as it is all about numbers.
• Risk register and risk mitigation plan Leader and a doer.
• I can shift from a strategic discussion to participating in development, coding, code review, integration and QA validation.
• Skills used in implementing big data analysis: Apache Hadoop, data visualization, data mining.
• Proficiency in data engineering, data migration performance engineering.
• Data visualization and BI, AI,ML
• Programming languages include Java, Python, C, Scala, etc used for big data programming.

MANAGEMENT SKILLS:

• Create a culture of innovation and quality in the software development team.
• Leadership: Leverage skills of the current team, and advance these as needed, to meet industry best practices
• Delegating
• Motivating and training
• Performance monitoring and KPI management
• Reporting and dash boarding overall status of the project
• Gathering stakeholder requirements
• Planning (capacity, effort estimation and risk mitigation)
• Writing BRD (business requirement document)
• Writing SRS (Software requirement specification
• Writing FDS (Functional Design Specification)
• Implementation
• QA supervision, reporting, tracking progress,
• Centralized Source control,
• Backlogs Management (Epic, Features, Backlog and tasks)

TECHNICAL SKILLS:

• Windows, Linux, Android
• C, C++
• Windows OS (User space and Kernel), Linux, CentOS, embedded software, embedded Realtime systems, Microservices. NTFS, ReFS and Kernel Programming (mini Filters), communication), Multi- Threaded distributed systems and synchronization Objects, socket library, web application, Client/server, webRTC, Real-time Replication, graphical application, Image processing, video analysis, facial recognition, Process filtering- Linux, (WMI), Java Native Interface (JNI), VOIP, SIP.
• JAVA, EE, J2EE spring, spring boot
• Client/server application, SDK, Web Application, Web services, MVC, Micro services, apache tomcat, SOAP / REST API.
• Vulnerability management, GRC
• PHP, LaravelLAMP
• SOAP / REST API web services, Web Application, online image processing, search video scene. (HTML, CSS, Sass, JavaScript)
• SPA (Single page application), Feature based modular design. angular 2+ (currently angular 7)
• SIEM application
• Console for log monitoring
• Python
• Cyber security stream processing -ETL
• Vulnerability Management
• GRC
• Building language for big data
• NodeJs, Web servicesMicrosoft Dot Net framework (Net C++, .Net C#, ASP. Net) and MFC
• MV Cpattern, Compliance and regulation validation (Section 508,WCAG, PDF/UA)
• MS SQL Server, MySQL, Postgre SQL, SQLight, Stored procedure, triggers, DB functions, Database integrity, ODBC, JDBC and OLEDB., NOSQL database (Not only SQL) Big Data -Datalake, Hadoop
• Apache Accumulate, Base
• Spark, SparkSQL
• Scala container technologies
• Docker
• Data Privacy Dataprotection
• Authentication
• Data privacy by design PIImasking
• GDPR
• OAuth 2.0 and openID connect
• JWT
• Stream processing and data pipelines
• Near-Real-time data Ingestion
• 3Vsproblem
• MiniFi, NiFi, Hive
• HDP (Horton works data platform)
• Data/messaging, Queering technologies (Kafka, ZeroMQ)
• Cyber security
• Android SDK and DDK
• Set Top Box (STB) for smart TV application
• Artificial intelligence (AI )
• Machine Learning ( ML )
• For Cyber security use case.
• Supervised, unsupervised and deep learning

WORK HISTORY:

Confidential

Senior Solution Architect

Responsibilities:

• Design and vision the solution
• Cloud-based architecture
• Scalability. The 3Vsproblem:
• Data molding and mapping for (IT, IOT,OT)
• Privacy protection: introduced Privacy by design concept to meet data privacy regulationsGDPR.
• Near-Real-time Stream Processing:
• Correlation engine:(Signature-based)
• UEBA engine: (behavioral based)
• Endpoint and EDR (SIEM integration, insider threat detection, Firewall hardening and next Gen of Firewall).
• Flexible user interface UX: (inspired by Tableau to create customizable Dashboard, and reports)
• Integration with plunk
• Apache Hadoop. The long-standing champion in the field of Big Data processing, well-known for its capabilities for huge-scale data processing

Tools: Several technologies were used to roll out this platform (c++, python, java, micro services, PHP, Docker, Big Data, Hadoop, apache Nifi, Kafka, ELK stack accumulo).

Confidential

Senior Software Developer

Responsibilities:

• My task was importing huge amount of data (exabytes), from discontinued old storage devices like optical media to hard-disk volume in an acceptable time frame. This module is intelligence, high performance, multi-threaded windows service to secure the process of importing files (data, attributes, extended attribute and streams) from one server with the storage device attached to it to the hard-disk, locally or share in the network.
• The intelligent part was to control the processor priorities and by monitoring the OS resources (memory, CPU, Hard-disk IOs and network usage) and adjust the copying, enumeration and buffering threads accordingly. Tools and technologies used for the development are C++, WMI technology, Big Data, Hadoop, SQLight database and native operating system APIs.
• Machine Learning is the hot field of big data. Though the landscape of big data is vast, these two make an important contribution to the field.
• Replication Module
• The most flexible replication and file synchronization product in the storage market, with multiple replications and synchronization methods to suit client’s needs.
• The objective is to replicate volume data from protect crucial company business data in case of a Disaster that affects the main IT Center building, and to enable continuity of business applications from a remote site
• Users will be able to take advantage of one-way and multi-ways rules that will allow you to push data one-to-one, one-to-many, or even peer-to-peer.
• Synchronization process will make sure that two or more locations contain the same up-to-date information.
• Synchronize files and folders between File Servers over LAN connection. Users can run it on- demand, at scheduled times or continuously, while monitoring files for changes.
• In case of any disaster, the File Conflict Resolver component will resolve the conflict automatically and in some cases semi-automatically with some human interference.
• Windows Shell Extension module
• Design and implement COMinterfaces.
• File Retention Management Service for Java
• A multi-threaded Windows Service to bridge KOM Worx server with any Unix-like server on the network. The target was to expose kOM worx functionalities like (file retention, file protection, …) to any Unix / linux based clients. This module has the following features:
• Socket listening thread (Windows and Unix)
• Handshaking protocol between window server and Unix-like server.
• Marshaling parameters between different environments.
• Rich user interface.
• All functions are transactional to ensure the correctness and completeness of the requested function.

Tools: C++, Java, Java Native Interface (JNI) technologies, socket (Unix and windows), php.

Confidential

Responsibilities:

• Direct all the files from MOSS to KOM compliance Server.
• Load balancing
• Single instance
• Manage versions of MOSS files stored on KOM compliance server.
• Manage how files are deleted on KOM compliance in conjunction with MOSS
• Manage how to migrate a pre-existing MOSS files to KOM compliance
• Setup and Installation

Tools: and technologies: C++, COM Interfaces, C#, “Microsoft.SharePoint” assembly

Confidential

Responsibilities:

• Developing testing utility to evaluate and stress-test variety of databases to check the scalability, robustness, concurrency and record lockingtechnique.