SKU: 32942813976
white wedding dress women

white wedding dress women Aubriella Wedding Gown for Women by Gulnaaz Fashions

Sale price$24.03 Regular price$26.70
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USA
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Ships within 48 hours · Estimated delivery Oct 15 - Oct 20

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Description

white wedding dress women Aubriella Wedding Gown for Women by Gulnaaz FashionsThis attractive gown would surely attract you shower of compliments when u wear it. This elegant gown is designed in anarkali style and is made up of pure quality of raw silk and embellished with handwork of dabka nakshi and pearl embroidery. The net dupatta is also embroidered with a broad lined border design. From wedding to festive parties wear this beautiful outfit with golden jewellery and golden clutch. Note : the Velvet Shawl is not included

 

This attractive gown would surely attract you shower of compliments when u wear it. This elegant gown is designed in anarkali style and is made up of pure quality of raw silk and embellished with handwork of dabka  nakshi and pearl embroidery. The net dupatta is also embroidered with a broad lined border  design. From wedding to festive parties wear this beautiful outfit with golden jewellery and golden clutch.

Note : the Velvet Shawl is not included with the dress. The Velvet Shawl can be bought separately here Dupatta DP 01

Color

Off white ( Color can be customize )

Dupatta Color

Off white net dupatta

Size

Custom made according to your personal measures. Measure form will be emailed to you after payment.

Delivery

Orders will be delivered after aprox. 6 weeks of placing order.

Materials

Materials

Pure raw silk

Work Embroidery

Dabka, nakshi ,pearl.stone

Care instructions

Keep Outfit in Plastic Bag

Wash instructions

Dry Clean Only

Steam Iron Only

Occasion

Wedding/ engagement/occasion

Top Fabric

Raw silk

This product consist of

Gown and white dupatta

Model Height and size

Model is 5’8” (174 cm) without shoes and wearing a size XS

Custom options

Anything can be customized – ask our customer service for special requests

Related products

Model is wearing Bridal set NS 55 - Buy it here

Shipping Notes
  • Free Standard Shipping on $100+ Orders to the USA.
  • Except Preorder products are shipped in 48 hours.
  • Delivery to the USA:
  1. Standard Shipping : 3-10 business days
  • If time is of the essence, please consider selecting expedited delivery for faster service.
Exchange/Return Notes
  • We offer a 30-day return/exchange service after receiving.
  • Final sale items are not eligible for returns or exchanges.
  • To process your return/exchange, please contact us at [email protected]
  • Please click here for more details>>> Return & Exchange Policy
SKU: 32942813976

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Micky
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It tells you spots in towns history and very cool attractions. Secret gems are uncovered in its pages secrets some locals don’t even know about!
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Reviewed in the United States on September 19, 2024
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Is the third time that I read this book. One of the most valuable aspects is the fact that depending of your data engineering mature, you'll always find a new aspect or ideas to put in practice. Hope the second version come soon!
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Reviewed in the United States on June 26, 2022
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Wilian Henrique Cavassin
Omaha, US
★★★★★ 1
Lottery Book
Format: Paperback
This book contains a lot of opinions without facts. Some are true, some are not. But its a lottery, you cold pick a gold text or a text that is full of buzzwords, without any meaning, fact and useless in real life.
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Reviewed in the United States on March 25, 2026
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NotJeffBezos
Los Angeles, US
★★★★★ 2
Glad I bought this used
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It’s packed with buzzwords and adjectives, offering plenty of in-vacuum advice and self-promotional ‘hire-me’ vibes. There’s some real insight here, but it’s buried under a lot of noise.
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Reviewed in the United States on February 11, 2026
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Jenny Holden
Whiting, US
★★★★★ 1
Not useful
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This book has a few pieces of good advice, but its buried under mountains of weird and amateur level musings. Example: Paul Singman advocates for eliminating ETL entirely. How? Just reprogram the applications to which you may or may not have the source code to handle your data processing. He calls Intention Data Transfer 🥴 Thanks for the advice Paul, I'll get right on that.
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Reviewed in the United States on February 17, 2026

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