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petermorg

Badr

@petermorg
5,0(1)

Software Engineer Specialized In BI and Big DATA and SAP HANA Expert

Tunisie
Arabe, Anglais, Espagnol, Français
Certaines informations sont présentées en anglais.
À propos de moi
Technical Support Engineer with 4 years of experience troubleshooting complex production systems in enterprise environments. Specialized in root cause analysis, distributed systems, and cloud-based architectures, with strong expertise in SAP HANA, SQL, and Python. Data Analysis & Reporting (Power BI, QlikView, SSIS) Business Intelligence Solutions Machine Learning & Predictive Modeling Database Management (MySQL, MongoDB, HANA) I deliver efficient, data-driven solutions to help businesses make informed decisions and drive growth.... Plus d’infos

Compétences

p
petermorg
Badr
hors ligne • 

Expérience professionnelle

SAP

Technical Support Engineer

SAP • Temps plein

May 2022 - Present • 4 yrs 5 mos

• Troubleshoot complex production issues for enterprise customers, including P1 incidents impacting critical business operations, ensuring adherence to strict SLA requirements. • Perform root cause analysis across distributed systems (SAP HANA, cloud environments), identifying issues related to memory, performance, and system availability. • Debug and analyze issues using SQL, Python, and shell-based tools, including log analysis, query optimization, and system diagnostics. • Support and triage client-server architecture issues, including authentication, SSL/TLS, API communication, and connectivity failures. • Collaborate with cross-functional teams to resolve multi-layer technical issues (application, database, network). • Investigate network-related issues such as latency, connection failures, and secure communication errors. • Work with cloud-based environments (SAP BTP / HANA Cloud) and hybrid infrastructures. • Guide customers and advocate for their needs, ensuring clear communication and fast resolution of issues.

Capgemini

Data Engineer

Capgemini • Temps plein

Aug 2021 - Apr 2022 • 8 mos

• Developed and deployed machine learning models to detect anomalies and predict cybersecurity threats using large-scale datasets. • Processed and analyzed data using Python and SQL, ensuring performance and scalability. • Built dashboards to monitor system behavior and support data-driven decision-making.

Avis des clients

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    Tunisie

    5

    Thank you!

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