Abhishek Singh

3+ years of experience as Data and Application Support Engineer, system and pipeline monitoring, and incident resolution. Proficient in providing technical and operational support for B2B customers, with hands-on experience troubleshooting distributed network issues, analysing system logs, and optimising platform performance. Skilled in Salesforce/ServiceNow ticketing, SQL (CRUD operations, CTEs, window functions), and Linux/Unix environments.

And well sound knowledge and experience of containerisation with Docker. Strong programming knowledge in Python, leveraging object-oriented, Data Structure & Algorithms principles to automate repetitive support tasks and analyse operational data. Experienced with Python libraries such as Pandas, NumPy, and Matplotlib, Seaborn for data cleaning, performance analysis, statistical analysis and visualisation to drive actionable insights and continuous improvement in system reliability.

Data Operation Engineer(ETL Engineer) at NIQ (2026-01 – Present)

• Part of Ingestion team, monitor the existing Ingestion pipelines. And Create new pipeline as to onboard new clients.
• Investigate the reason of failure of pipeline. Check logs, inspect the data Python(Pandas) and Excel.
• Used Salesforce as ticketing tool. To maintain the incident records. And raise ticket to other teams incase of collaboration is required.
• Transform and load the USA retailers data.
• Develop the python script to automate the KPI validation, which reduces the KPI validation time by 90%.

Associate Consultant at Allscripts (2025-04 – 2025-07)

• Part of platform support of Sunrise EHR team.
• Used Salesforce as ticketing tool. Managed cloud servers (Azure, Morpheus) and SSL certificates via IIS under HIPAA compliance.
• Collaborated with healthcare clients to resolve production issues efficiently. Created VM(Virtual machine) over Azure and Remotely accessed Azure-hosted VMs using RDP/RDM.
• Analyses the frequently occurring incidents, to get the RCA of the issue and prepare the SOPs new and first time occurred issues.

Support Analyst at PMC (2024-04 – 2024-10)

• Supported retail data systems for global clients (WH Smith, Michael Kors, 15+).
• Resolved SQL job failures, debugged data processing issues via Zabbix & Grafana. Monitored and optimised retail workflows using Zabbix & Grafana, ensuring successful data synchronisation across POS systems.
• Performed data corrections and schema-level updates via SQL scripts and stored procedures in production databases.
• Ensured SLA compliance and root-cause documentation for high-priority incidents.
• Analyses the frequently occurring incidents, to get the RCA of the issue and prepare the SOPs new and first time occurred issues.
• Reduces the no of incidents by 18% in peak time. Awarded with Best Performer of the Month.

Junior Support Engineer(Correspondence- Developer) at Civica (2022-11 – 2024-03)

• Worked on Azure SQL and template automation for Australian Govt project (VIEW).
• Developed and tested XML-based logic templates for automating Notices, Infringements and Warrants as per User story(in Azure Devops) and client requirement and participated in UAT.
• And test developed templates into Test and UAT environment.
• Participate in client call to understand the issue and Daily Stand up call.
• Created stored procedures for finance table validation and business logic testing.
• Followed Agile (CI/CD) practices using Azure DevOps.

Masters – INDIAN INSTITUTE OF INFORMATION TECHNOLOGY, JABALPUR (2020 – 2022)