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Senior Qlik Sense Developer / Qlik Sense Developer with 5+ years in Data Gathering, Data Cleansing,
Having worked as a BI Developer/Qliksense Developer and a Full Stack Developer (MEAN/MERN stack) for four years in the IT Industry. Good knowledge of various Business Flow for various Industry Verticals along with blueprinting of reports and dashboards as per the client requirement. Good knowledge of Qlik Sense. A customer oriented, multitask professional with excellent analytical and logical skills possesses experience as BI Developer. Working Experience on various aspect of Qlik sense Saas like Data gathering, Data Cleansing, Data modeling, Visualizations, optimization, troubleshooting etc. Used different kinds of loads (Inline, Resident, Binary) to load the data into the data model. Used Incremental load (Insert, Insert/Update, and Delete) for loading the incremental data and to reduce the reload time of Data Extraction process. Solved multiple issues which came while building the data models like Synthetic keys and Circular references using different techniques (Joins, Concatenations and Link table). Used different backend functions like ApplyMap(), Peek(), Match(), Exist(), AutoNumber() Etc. Hands-on experience on Set Analysis, qlik automation and qlik reporting. Implemented security by using Section access in Data Level, column level & sheet level. Domain knowledge of aviation, health, Hospitality Integration Platform, Collaboration etc. Ability to understand any 3rd party tools through research & analysis. Good communication skills, self-motivated and efficient. Ability to learn and implement new technologies in a period of a few days.
R.C Technical Institute
Diploma In IT · IT
January 1, 2016 – January 1, 2019
DnT Infotech
Qlik Sense Developer/BI Developer
June 1, 2021 – Present
Ahmedabad, Gujarat, India
Other small projects
June 1, 2021 – June 30, 2026
Developed and optimized multiple small-scale analytics and dashboard projects including Incomplete Material Picking, MRR Report, Climate Transition Plan, Maintenance Alert Dashboard, Amos Business Continuity, Maintenance Reserve Dashboard, and Document Status Dashboard to support data-driven decision-making.
Inventory Performance Dashboard
June 1, 2021 – June 30, 2026
Provided real-time insights to senior leadership for swift decision-making on inventory control and procurement. Enabled operational efficiency by identifying stock anomalies and consumption patterns. Created Source on Dremio and Connected with Qliksense cloud. Loaded data from source using Data Manager. Designed model using scripting. Developed a KPI-driven dashboard to monitor daily inventory movement (ordered, received, consumed). Created Map which shows How much quantity and price of inventory is in specific location or station. Used charts like bar, line to show last 12 months inventory's movement.
Daily Fleet Status
June 1, 2021 – June 30, 2026
Built a live dashboard to monitor aircraft ground status, differentiating between scheduled and unscheduled maintenance. Supported quick operational decisions, contributing to reduced flight delays and improved fleet availability. Connected source to the Qlik Cloud. Loaded the data and Designed the Model using scripting. Created Heatmap to show the aircraft's flying with MEIs and Their Togo value. Created table to show the current aircraft's AOG and Material dispatch details. Created automation to schedule the refresh frequency of dashboard and monitoring the failure. Created the table which shows scheduled maintenance details.
OCC Dashboard
June 1, 2021 – June 30, 2026
Developed an operational control dashboard to track delays, cancellations, Aircraft on Ground (AOG) status, and incident resolutions. Integrated writeback functionality to update records directly from the dashboard, improving communication and resolution tracking. Created destination in vizlib to writeback from dashboard. Created Vizlib table where user can submit the operational data for Delay and cancellation. Generated report which shows the mirror view of dashboard in pdf format using qlik reporting service. Created automation which sends operational data in email body using html format.
Eagle Eye
June 1, 2021 – June 30, 2026
Built a focused tool for tracking delays and cancellations for specific entities. Implemented VIZLIB writeback capability for users to log root causes, mitigation measures, and issue status (Open/Closed). Created destination for vizlib and connected to Qliksense app. Loaded data from source and designed the eagle eye model using scripting. Created vizlib table where user can log data related delays and cancellation. Created different vizlib forms where user can log data for multiple entities. Created two different reports format using Qlik automation for multiple entities. Created link which can send them report based on the entity.
Engine Fleet Status
June 1, 2021 – June 30, 2026
Created a comprehensive dashboard capturing the full lifecycle of each engine including installation, maintenance, and current health. Delivered critical insights to the engineering team, enhancing planning and resource allocation for engine maintenance. Loaded the data from excel and created model for this dashboard. Created multiple heatmap which shows ToGo values, Oil Consumption and Exhaust Gas Temperature (EGT). Provided multiple filter panes to filter data with multiple dimension. Created table which show detailed information about engine. Created scatter map to show ToGo values, Oil Consumption and Exhaust Gas Temperature (EGT). Generated on-demand pdf report using Qlik reporting and qlik add in plugin.
Cultural Fit Analysis
The candidate's project diversity across Aviation, Health, and Hospitality domains, coupled with experience in various BI tools and databases, suggests adaptability and a broad technical interest. The explicit mention of understanding business flows and client requirements indicates a user-centric approach, which aligns well with a culture valuing problem-solving and stakeholder collaboration. The continuous learning mindset also points to a good cultural fit for an evolving tech environment.
Soft Skills & Operational Fit
The candidate's resume highlights good communication skills, self-motivation, efficiency, and an ability to quickly learn and implement new technologies. These traits suggest a good operational fit for a dynamic development environment and a collaborative team setting. The focus on customer-oriented solutions and understanding business flows indicates a practical, results-driven approach.