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Stanislav Scerbatiuc's avatar
Stanislav Scerbatiuc
Moldova
Senior .NET Fullstack Developer
    $50k+
    Earned
    1x
    Hired
    9
    Followers
Senior .NET Fullstack Developer
Cover image for PriceEasy
PriceEasy
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42
Cover image for freelance
freelance
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Cover image for AHB IT Solutions
AHB IT Solutions
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7
Cover image for IT Trend
IT Trend
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6
Snowflake(1)
Metricgrain Lab's avatar
Metricgrain Lab
San Francisco, USA
Snowflake cost, data modeling & AI analytics
New to Contra
Snowflake cost, data modeling & AI analytics
Cover image for Data Ingestion Migration: $170K a
Data Ingestion Migration: $170K a Year Saved (cover: work_6.png) # Problem: At a $2B SaaS unicorn, Fivetran’s new pricing model was about to raise ingestion costs from ~$13K to ~$23K a month, with no change in data volume. Syncs from Google Cloud SQL read replicas also broke whenever a replica lagged or was rebuilt, and each break needed manual re-syncs and chat with Fivetran team (due to table size). # What I did - Benchmarked ELT alternatives on cost, connector coverage and sync reliability - Migrated production connectors to a modern ELT platform in about 30 days, running old and new pipelines in parallel - Built an end-to-end validation framework comparing every internal and customer-facing data product before cutover: row counts, values and schemas - Found and resolved data type inconsistencies between the two tools (timestamps, decimals, JSON and nested fields) plus edge cases in deletes and soft-deletes - Preserved full history: migrated SCD Type 2 tables and past deletes from the existing Snowflake tables, so no history was lost and nothing had to be re-synced from source - Re-pointed downstream dbt sources only after the outputs matched - Tuned sync frequency and schemas to stop loading tables nobody used - Set up automatic recovery for replica issues, so syncs resume on their own instead of failing and waiting for a manual re-sync # Result: - Ingestion cost down from ~$13K to ~$9K a month (about 30% lower) ~$170K a year saved against the projected new pricing - Zero changes to internal or customer-facing data products: every output validated identical before cutover - Full history kept: SCD Type 2 history and past deletes carried over with no historical re-sync - More reliable pipelines: replica hiccups now recover automatically instead of breaking syncs and paging the team
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Cover image for The open-source Snowflake Cost Scan
The open-source Snowflake Cost Scan
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17
Cover image for Title: Customer-Facing AI Analytics Chat
Title: Customer-Facing AI Analytics Chat on Snowflake # Problem 20K+ business customers wanted answers about their own business without building dashboards or waiting on support. Pointing an LLM straight at raw tables gave wrong joins, inconsistent metric definitions and numbers that didn’t match the product’s dashboards, so nobody trusted the answers. # What I did - Explored options for Semantic layers and integrated dbt Smentic layer to company stack. - Defined business metrics once in the dbt Semantic Layer, the single source of truth for internal, external analytics (this grew eventually to ~300 metrics) - Built a chat interface where the LLM picks governed metrics and dimensions from the semantic layer instead of writing free-form SQL. - Kept it multi-tenant and secure: each customer only ever sees their own data Built an evaluation framework to measure and protect accuracy: - A golden set of real customer questions, each with the expected metric, dimensions, filters and answer - Covers frequent lookups, time comparisons, filtered breakdowns and multi-metric questions - Automated scoring: correct metric and filter selection, plus result match against the expected answer. - Separate LLM agents evaluates the answer in predefined criteria and steps. # Result - 92% of eval questions answered correctly - Answers in under 10 seconds - 300+ governed metrics available in plain English to 20K+ customers - Same numbers in chat as in the dashboards; new metrics show up in chat as soon as they’re added to dbt. # Tools: - Snowflake, dbt Semantic Layer, Kimball dimensional modeling, LLMs, Python
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Cover image for Title: Snowflake Cost Optimization: $1.3M
Title: Snowflake Cost Optimization: $1.3M in Cumulative Savings Tools: Snowflake, dbt, Airflow, SQL # Problem A $2B SaaS unicorn’s Snowflake bill kept climbing as data volumes and dbt models grew. Spend was spread across CI runs, stale models, idle warehouses and storage nobody used, and no one owned it. # What I did Ran Snowflake cost as a quarterly program: attributed spend to dbt models and workloads, ranked every fix by ROI, and shipped 25+ initiatives over 3 months. - Retired a legacy data models: ~$240K/yr - Trimmed CI test data: ~$190K/yr - Removed expensive models with little or no usage: ~$180K/yr - Cleaned up stale, backup and dev databases: ~$175K/yr - Turned rarely queried tables into views: ~$145K/yr - Moved heavy models to incremental loads and fixed clustering: up to 90% cheaper per model. - Contract re-negotiation with Snowflake - Other # Result - $1.3M in cumulative annual savings across 25+ initiatives - Biggest single win ~$240K/yr; fastest win ~$65K/yr from a one-hour change
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37
Snowflake(4)
Devowise Studios's avatar
Devowise Studios
proPakistan
Web Design Studio | Brand Identity | Framer & AI Solutions
    $5k+
    Earned
    4x
    Hired
    5.0
    Rating
    144
    Followers
FRAMER_EXPERT

expert

ANYTHING_EXPERT

Expert

+3
Web Design Studio | Brand Identity | Framer & AI Solutions
Cover image for Automated ELT Pipeline Development
Automated ELT Pipeline Development
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29
Cover image for DAZN Fight Night Agent
DAZN Fight Night Agent
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10
Cover image for Development of Studio Lumen's Yoga & Wellness Platform
Development of Studio Lumen's Yoga & Wellness Platform
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15
Cover image for Zynox AI Conversational Platform Development
Zynox AI Conversational Platform Development
1
9
Snowflake(1)
Muhammad Tahir A's avatar
Muhammad Tahir A
proSharjah - United Arab Emirates
Brand Strategist and Product Design, Full-stack & AI Dev.
    $5k+
    Earned
    1x
    Hired
    33
    Followers
Brand Strategist and Product Design, Full-stack & AI Dev.
Cover image for End-to-End ELT Pipeline with Snowflake, Amazon S3, Airflow & DBT
End-to-End ELT Pipeline with Snowflake, Amazon S3, Airflow & DBT
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115
Cover image for Hello everyone , I'd love to
Hello everyone , I'd love to share my recently developed personal eCommerce brand, StyloDyna (https://stylodyna.com/) — Home Interior Styling & Lifestyle. Website: https://stylodyna.com/ (https://stylodyna.com/)I'm an experienced Business & Brand Strategist, Full-Stack Developer, and UI/UX Designer with 8+ years of expertise in modern web technologies, responsive frontend development, scalable design systems, cloud architecture, and AI-powered business solutions. StyloDyna is more than a custom-designed Shopify storefront. It's a complete eCommerce ecosystem supported by four AI-powered systems for product intelligence, creative operations, data management, and workflow automation. I personally led the journey from business strategy and brand positioning to UI/UX design, design system architecture, full-stack development, and AI-powered backend operations. I'd welcome the opportunity to discuss your project and how my experience can contribute to its success. Best regards, Muhammad Tahir A.
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Cover image for Hello everyone , I'd love to
Hello everyone , I'd love to share my recently developed personal eCommerce brand, StyloDyna (https://stylodyna.com/) — Home Interior Styling & Lifestyle. Website: https://stylodyna.com/ (https://stylodyna.com/)I'm an experienced Business & Brand Strategist, Full-Stack Developer, and UI/UX Designer with 8+ years of expertise in modern web technologies, responsive frontend development, scalable design systems, cloud architecture, and AI-powered business solutions. StyloDyna is more than a custom-designed Shopify storefront. It's a complete eCommerce ecosystem supported by four AI-powered systems for product intelligence, creative operations, data management, and workflow automation. I personally led the journey from business strategy and brand positioning to UI/UX design, design system architecture, full-stack development, and AI-powered backend operations. I'd welcome the opportunity to discuss your project and how my experience can contribute to its success. Best regards, Muhammad Tahir A.
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Cover image for I have launched my own
I have launched my own personal brand StyloDyna (https://stylodyna.com/) with proper Business & Brand Strategy, Design System, best UI/UX expertise, Information Flow which leads CTA. https://stylodyna.com/ (https://stylodyna.com/c) I had dream of best Shopify frontend fully Customize and Saleable High Performance. Not only this I have also Build AI-Powered Product Intelligence System. Currently launched in Pakistan. soon, my next plan is to launch in UK with different niche Idea in couple of months. Must visit my brand and if you want me to collaborate with you to build plan and develop with you custom frontend idea let me know. https://stylodyna.com/ Regards, Muhammad Tahir A
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Snowflake(1)
Yusuf Adetona's avatar
Yusuf Adetona
Lagos, Nigeria
Professional Accountant | Bookkeeping, Financial Reporting
    47
    Followers
Professional Accountant | Bookkeeping, Financial Reporting
Cover image for Just completed my end-to-end data engineering project: Custo...
Just completed my end-to-end data engineering project: Customer Weather Demand Analysis This project demonstrates a full data pipeline, from multi-source data ingestion (customer dumps & real-time weather APIs) to business intelligence. I used Python and Terraform to provision and orchestrate Google Cloud Platform (GCP) resources, transformed the data in Snowflake following a Medallion Architecture, and built a suite of dashboards in Power BI to deliver key insights on how weather impacts customer demand. Check out the full project code and detailed README on GitHub: https://github.com/adetonayusuf/maxi_sale_forecast
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Cover image for Project title: Board Report Redesign:
Project title: Board Report Redesign: Q3 Performance Pack (Power BI) Same financial data, redesigned from a plain Word report into a one-page Power BI board view. The problem Board and management reports are often full of accurate numbers that nobody reads closely. Tables, long paragraphs and default charts make people hunt for the headline. What I did To show my approach, I built a fictional company’s Q3 board report two ways from the same Excel workbook: a typical plain Word version, and a redesigned one-page Power BI view. What I changed • Key figures (revenue, profit, closing cash, variance to budget) placed first • A waterfall that takes cash from opening balance to closing cash • Clear chart titles, with units where they apply • One colour system applied across every visual • All figures tie back to a single workbook, with DAX measures checked against it Deliverables in this sample • Plain “before” report (Word, 8 pages) • Redesigned Power BI board view (PDF) • Source workbook structure and a custom navy and gold theme Note: The company, figures and report are fictional, created only to demonstrate my approach. No real client data is used. What I can do for you I design board packs, investor decks and monthly management reports for SMEs and finance teams, in Power BI and Excel. If your reports get skimmed instead of read, message me.
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Cover image for 1M+ Row Migration ROI: SQL
1M+ Row Migration ROI: SQL Server to PostgreSQL I engineered a Python ETL pipeline to migrate legacy SQL Server data to PostgreSQL, prioritizing cost-efficiency and absolute integrity. The Problem: High licensing costs and a need for cloud-scalability without risking the "Source of Truth." The Outcomes: 🔹Savings: Projected 65% reduction in annual licensing fees 🔹Integrity: 1,055,008 rows reconciled with zero violations 🔹Audit: Flagged 24,000+ quality issues (negative prices, invalid emails) during the move The Impact: Shifted from reactive maintenance to proactive cloud-scaling on AWS/Azure with a cleaner, more reliable database. Why Me? As an Accountant & Data Engineer, I bring "ledger-style" reconciliation to architecture. I don’t just move data; I audit it. Open for Migration contracts. Let’s cut your costs.
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Cover image for Created a professional investor pitch
Created a professional investor pitch deck for a customizable bedding business. I combined clean design, structured storytelling, and financial insight to communicate the company’s mission, market opportunity, traction, business model, customer profiles, and financial KPIs. The deck includes premium slide layouts, branded color themes, clear charts, and subtle animations optimized for live presentations. Perfect for investor meetings, fundraising, and strategic presentations. Below is the full project link https://github.com/adetonayusuf/pitch-deck-for-a-start-up/tree/main #pitchdecks #powerpoint #presentation #anythingappchallenge #rivechallenge #contraeverywhere
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Snowflake(1)
Nandan Priyadarshi's avatar
Nandan Priyadarshi
proIndia
Product Manager & AI Builder | MVPs, Agents & Automation
New to Contra
Product Manager & AI Builder | MVPs, Agents & Automation
Cover image for Unified KPI Platform: Product Leadership & Adoption
Unified KPI Platform: Product Leadership & Adoption
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1
Cover image for MiMoHub: Conversational Excel & CSV Analysis
MiMoHub: Conversational Excel & CSV Analysis
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0
Cover image for Database Explorer MCP: AI-to-Database Integration
Database Explorer MCP: AI-to-Database Integration
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0
Cover image for PRD Generator: From Business Brief to Buildable Scope
PRD Generator: From Business Brief to Buildable Scope
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1
Snowflake(1)