Consolidate XLSX & Flag Duplicates

@vano101

Hello I have several years of experience with Python programming and automated processing of Excel documents Also, I am able to use VBA, if needed I am ready to start now

@saif12me

Hi there, I can complete this consolidation and duplicate analysis task within your tight 3-hour deadline with high accuracy. Handling 10,000+ XLSX files efficiently requires a structured and optimized approach. I will merge all workbooks into a single clean dataset and identify duplicates strictly based on Name, Relative Name, and Age, ensuring precise matching as per your requirement. For the deliverables: • I will create an assembly-wise Excel sheet where duplicates are clearly marked, including details such as assembly, part number, serial number, and EPIC ID for each duplicated entry. • I will also provide a separate summary sheet showing how many times each record is duplicated in a clean, consolidated report. To ensure speed and reliability, I will use a combination of VBA and power query depending on performance needs Accuracy is my priority—I will structure the data so it is easy for you to verify during your spot-check. I have strong experience working with large datasets, Excel automation, and data analysis. With 4+ years as a data analyst and prior experience as a research engineer, I’m confident in delivering fast and reliable results under tight deadlines. I’m ready to start immediately and complete this within your required timeframe. Let’s get this done. Thanks and regards, Saif

@zafarfarooq612

Hello, I am an advanced data specialist who will consolidate your 10,000 XLSX workbooks into a single clean dataset using Python pandas (fast and accurate), then identify duplicates strictly based on Name, relative name, and age. I will create an assembly‑wise Excel sheet marking duplicates with columns for assembly, part number, serial number, and EPIC ID. I will also produce a separate consolidated report tab showing each duplicate set and how many times it appears. I will deliver the final Excel file within 3 hours. I am ready to start immediately. Please share the files. Regards Zafar

@vsprybhanu

Hi, I can consolidate all 10,000 XLSX files into one clean master dataset using Power Query or Python (pandas), then identify duplicates strictly based on Name + Relative Name + Age. I will generate (1) an assembly-wise sheet clearly marking duplicates with assembly code, part number, serial number, and EPIC ID, and (2) a separate consolidated report showing each duplicated record and its total repeat count. The final file will be standard Excel with no external dependencies. Given the 3-hour urgency, I will prioritize fast merging, structured validation, and accuracy checks before delivery so you can confidently spot-check both sheets. Best Regards, Virendra

@Linkmez

Hi, I can take this up immediately and handle it with Python (pandas + openpyxl), which is the fastest and safest option for consolidating around 10,000 XLSX files within your timeline. My approach: 1. Read and normalize all XLSX files into one clean master dataset. 2. Detect duplicates strictly on Name + relative name + age. 3. Produce a final Excel workbook with: - Consolidated data - Assembly-wise duplicate sheet showing assembly, part number, serial number, EPIC ID, and where each duplicate appears - Separate duplicate summary tab showing which records are duplicated and how many times - Error log for any unreadable/corrupt files if needed I’ve already built Python/openpyxl bulk Excel processing pipelines before, so this is the kind of work I can execute quickly and accurately. Proposed Timeline: - First 15 minutes: schema/column confirmation - Next 30–45 minutes: script setup + sample validation - Next 60–90 minutes: full processing + duplicate reporting - Final 30 minutes: QA + final Excel packaging One important note: if the total merged row count exceeds Excel’s single-sheet limit, I will still deliver one standard Excel workbook, but the consolidated data may need to be split across multiple sheets while keeping the duplicate reports complete. One quick question before I start: are the key columns named consistently across all files for Name, relative name, age, assembly, part number, serial number, and EPIC ID? Best,

@mohjib092

Hi! I can urgently consolidate all 10,000 Excel files into a clean dataset and deliver precise duplicate detection (by Name, relative name, and age) with assembly-wise breakdown and a clear summary report—accurate and ready within your 3-hour deadline.

@Osama141

Hey! I've worked on a number of projects similar to this one. I have a lot of experience and knowledge in this field. My knowledge of business also gives me an advantage in this situation. Looking forward for the opportunity. Thanks

@SamirBanna

Hello, I’m a Senior Software Engineer with extensive experience in Python automation and web scraping & C# WindowFormApp and WFP. I’ve carefully reviewed your requirements and I can deliver a reliable, production-ready solution — not a quick workaround. ✅ Clean and maintainable code ✅ Clear communication ✅ On-time delivery I’d be happy to discuss your project details and propose the best technical approach. Best regards, Samir

@vw1514518vw

Professional Excel VBA,SQL developer, ready to do the required files merge, duplicate marking, split, removal and reporting. Reference for sample works and clients' reviews in links below. https://www.freelancer.com/projects/excel/Excel-Auto-Execute-Macro-Upon/reviews https://www.freelancer.com/projects/data-processing/data-processing-use-mail-merge/reviews

@nareshk44

With a proven track record in handling vast amounts of complex data, I am the perfect candidate for your project. My mastery of Excel is unrivaled; I can manipulate, clean, and merge thousands of XLSX files into one cohesive dataset using Power Query, VBA, or Python pandas - all with a delivery time that fits your urgent needs. For the duplicate entries you mentioned, rest assured that I am adept at identifying and flagging duplicates through unique combinations such as Name, relative name, and age. Furthermore, my skills extend beyond consolidating the XLSX files. I can go even further to create a comprehensive assembly-wise Excel sheet where duplicates are easily visible. I'll ensure that every duplicated entry is labeled with the corresponding assembly code, part number, serial number, and epic ID. Separately, I'll provide a tabulated report summarizing how many times each datapoint was duplicated for your perusal. The accuracy of data management is crucial and an area where I don't compromise. Upon completion of the task ahead of your tight 3-hour deadline tonight, I offer you unlimited revisions should there be any need for further fine-tuning. Ultimately, by entrusting me with this project, you gain access to a seasoned data professional who delivers exceptional results while strictly adhering to your specifications and time constraints.

@mdabu38

I will use a high-speed Python/Pandas script to accurately consolidate your 10,000 workbooks and deliver the two-tab duplicate report (Assembly-wise detail and Consolidated summary) in standard Excel within your 3-hour deadline.

@Sunitav36

Hi, I have checked the project : i shall give you 100% accuracy with timely deliver the project. To proceed further, I am ready to discuss your project and start immediately. Thanks

@ToracosLabs

We can do this project for you efficiently, quickly and economically. Please contact us if you have any questions. We hope to be elected. Greetings. Pd: We are able to start right now

@moisesn71

Hi! Consolidating 10,000 XLSX files and flagging duplicates by Name, relative name and age grouped by assembly is a clean Python/pandas job — I can have this done within your 3-hour window. I'll merge all files, detect duplicates on the exact combination you specified, and deliver two tabs: one with duplicates marked assembly-wise with part number, serial number and epic ID, and a consolidated report showing how many times each record is duplicated. Ready to start right now — share the files.

@durgesh8527

As an experienced Full Stack Developer with a deep understanding of Excel and Python, I am uniquely positioned to tackle your urgent data consolidation project. With over 12 years in the field, I have honed my skills in data analysis, automation, and database design - all of which align perfectly with your project's requirements. To consolidate 10,000 XLSX workbooks and detect duplicates using Name, relative name, and age combination, Excel automation and Python's Pandas library will be my go-to tools. I will not only merge the files into a single clean dataset but also pinpoint every duplicate entry as per your instructions. Moreover, my ability to build robust Excel solutions that don't require additional dependencies makes me a great fit for this project. I understand the absolute importance of accuracy in this task and assure you of the highest quality work delivered within your tight timeframe. I appreciate your consideration and look forward to proving my abilities to you.

@omkumarsingh1

Hi, You’ve got 10,000 Excel files that need to become one clean dataset, and you need duplicates tracked exactly by name, relative name, and age across assemblies. If this isn’t done right, duplicates will slip through, reports will be wrong, and your final decisions will be based on messy data. I’ll handle it like this: • Merge all files into one structured master sheet with zero data loss • Identify and tag duplicates with full details like assembly, part, serial, EPIC ID • Create a clear second sheet showing duplicate counts and assembly-wise grouping I recently merged and cleaned 12,500+ records with duplicate tracing and delivered 100 percent accurate reports in under 4 hours. I can finish this within your 3 hour deadline. I can also process a small batch right now as a free sample so you can verify accuracy before we proceed. Should I start with a quick sample from your files? Best, Om Kumar Singh

@naqibmashal22

Hi, I can complete this consolidation and duplicate analysis within your 3-hour timeline with full accuracy. I will merge all 10,000 XLSX files into a single clean dataset using Power Query/Excel, then identify duplicates based strictly on Name, relative name, and age. I’ll create: * An assembly-wise sheet showing each duplicate record with assembly, part number, serial number, and EPIC ID clearly mapped * A separate summary tab showing each duplicated entry and how many times it appears I ensure structured, well-labeled output so you can easily verify and spot-check results. I have experience handling large Excel datasets and duplicate detection with high accuracy. Ready to start immediately and deliver within your deadline. Best regards

@Ramiro228

As an industrial engineer with a deep-rooted expertise in the Power Platform, I just don't check off the "Excel" skill box; I breathe Excel. When it comes to consolidating and analyzing large data sets quickly, Power Query and other automation tools are my go-to amigos. In fact, that's exactly what I am known for - streamlining and analyzing heaps of data accurately in minimal time-frame. I understand that time is of the essence for this project, given your urgent deadline of three hours, and you can count on me to deliver within that timeframe, without compromising on quality. My meticulous approach and attention to detail will ensure that not a single entry goes undetected or ungrouped. Moreover, your project is a quintessential embodiment of my skills and experience – blending raw data together, identifying duplicates based on a combination of factors (Name, relative name, age), compiling comprehensive reports – these have been the norm for me throughout my career. From one professional concerned with accuracy to another, you can trust me to provide a consolidated Excel file with flagged duplicates as well as a separate tab with clear records of duplications. Waiting for your thumbs up!

@maashardacsccen5

Hello, I can consolidate your 10,000 XLSX files into one clean dataset and accurately identify duplicates based on Name, Relative Name, and Age. I will also create: • Assembly-wise sheet with duplicates marked (Assembly, Part No., Serial No., EPIC ID) • Separate tab showing duplicate counts as a consolidated report I can use Power Query/Python to ensure fast and accurate processing. Final delivery will be in standard Excel format with no dependencies. I understand this is urgent and can complete it within your 3-hour timeline. Ready to start immediately. Thank you.