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Maximize your ROAS by fixing broken tracking. I help mobile apps implement iOS SKAN 4.0, fix AppsFlyer discrepancies, and ensure every dollar of marketing spend is accurately measured. With 100+ successful Upwork projects and 8+ years of experience, I specialize in AppsFlyer setup, Meta Conversion API integration, and Firebase analytics for iOS and Android apps. 📊 WHAT I SPECIALIZE IN: - AppsFlyer Implementation & Setup (iOS + Android apps) - iOS SKAN 4.0 Attribution for Meta, Google, TikTok campaigns - Mobile App Conversion Tracking (installs, events, purchases) - Meta Conversion API Integration (server-side tracking) - Firebase Analytics + AppsFlyer Integration - Attribution Audits (fix data discrepancies, duplicate events) ⚡ RECENT CLIENT RESULTS: ✅ Fixed AppsFlyer + Firebase data mismatch for fintech app (40% discrepancy → 3%) ✅ Implemented iOS SKAN 4.0 for gaming app, recovered $300K in misattributed ad spend ✅ Set up Meta CAPI for e-commerce app, ROAS improved from 1.1 → 3.4 ✅ Migrated dating app from Adjust to AppsFlyer with zero data loss 💼 PERFECT FOR: ✅ Mobile apps (iOS/Android) spending $5K+/month on ads ✅ Gaming, fintech, e-commerce, social, dating, fitness apps ✅ Apps needing AppsFlyer or Singular setup from scratch ✅ iOS apps struggling with SKAN attribution after iOS 14+ ✅ Apps with broken Meta/Google/TikTok tracking ✅ Apps migrating between attribution platforms ✅ Integrating Revenucat with Appsflyer for trial to subscription tracking 🛠️ TOOLS & PLATFORMS: Mobile Attribution: AppsFlyer (100+ implementations), Singular, Branch, Firebase, RevenueCat iOS & Android: SKAN 4.0, Android SDK, React Native, Flutter, Deep Linking Ad Platforms: Meta CAPI, Google Ads, TikTok Events API, Snapchat CAPI, Apple Search Ads Analytics: Firebase, GA4 (mobile), Looker Studio, BigQuery 🔹 CORE SERVICES: ✔️ AppsFlyer Setup & Integration - Complete SDK implementation, event tracking, deep linking ✔️ iOS SKAN 4.0 Implementation - Conversion values, postbacks, campaign optimization ✔️ Meta Conversion API - Server-side setup, event mapping, deduplication ✔️ Firebase + AppsFlyer Integration - Dual tracking, event sync, data consistency ✔️ Attribution Audits - Discrepancy fixes, duplicate detection, integration testing Common Problems I Solve: - "Why is AppsFlyer showing different numbers than Meta Ads Manager?" - "How do I set up iOS SKAN 4.0 for my app?" - "Can you integrate AppsFlyer with our existing Firebase setup?" - "We're getting no install data from TikTok ads - can you fix it?" Let's fix your mobile app attribution → get accurate data → scale profitable campaigns. 🏆 Top Rated Plus | 100% Job Success | 100+ Projects

Data Engineer specializing in Python ETL pipelines for cloud data warehouses. I build automated data engineering solutions processing millions of records daily. From real-time trading data to healthcare analytics 6+ years building production ETL systems on GCP and AWS using Apache Airflow, Dagster, and modern data stacks. I architect data engineering solutions that handle schema changes, ensure data quality, scale with demand, and prevent 3 AM pipeline emergencies. DATA ENGINEERING & ETL EXPERTISE ETL Pipeline Development & Data Engineering I design scalable ETL pipelines and data engineering infrastructure using Python with Apache Airflow or Dagster. My data engineering solutions include automated error handling, data validation, and comprehensive monitoring. Cloud Data Engineering (GCP & AWS) I build cloud-native data engineering solutions and ETL pipelines on modern platforms: • GCP: BigQuery, Dataflow, Cloud Functions, Pub/Sub • AWS: Redshift, Glue, Lambda, S3, Kinesis Enterprise data warehouse migration: Reduced ETL processing time 60% moving to GCP. Python Data Engineering & Pipeline Orchestration Python expert for data engineering and ETL development. I implement robust data workflow orchestration using Apache Airflow and Dagster with pipeline monitoring for data quality and reliability. KEY DATA ENGINEERING & ETL PROJECTS Election Data Pipeline - Python + Dagster data engineering solution extracting campaign finance data. Automated 40 hours/week of manual processing. Real-Time Trading Pipeline - Multi-layer data engineering architecture for algorithmic trading. Achieved <100ms latency, 100% uptime for streaming data. Healthcare Data Migration - Led enterprise ETL migration to GCP BigQuery. Result: 60% faster processing, 50% better performance. ML Feature Engineering - Built end-to-end data pipeline for AirAsia's recommendation system. Processed millions of records, increased engagement 25%. Web Scraping ETL - Automated data engineering solution combining scraping with warehousing using Python and Apache Airflow. DATA ENGINEERING TECH STACK ETL & Orchestration: Apache Airflow, Dagster, Apache Spark, Kafka, dbt Languages: Python (Expert), SQL (Expert) Cloud Platforms: GCP (BigQuery, Dataflow), AWS (Redshift, Glue, Lambda) Databases: PostgreSQL, MongoDB, BigQuery, Redshift, Snowflake Python Libraries: Pandas, PySpark, SQLAlchemy, Apache Beam Infrastructure: Terraform, Docker, Kubernetes, CI/CD. IDEAL PROJECTS • ETL pipeline development from scratch (Python, Airflow, cloud platforms) • Data warehouse engineering and cloud migration (BigQuery, Redshift, Snowflake) • Real-time data engineering and streaming ETL implementation • Legacy ETL modernization and data pipeline migration • Web scraping data engineering with ETL workflows • Data integration connecting multiple sources • ML data pipeline engineering for feature engineering LET'S BUILD YOUR DATA ENGINEERING SOLUTION Available for fixed-price data engineering projects and long-term ETL contracts. I work across US, European, and Asian time zones (GMT+7). Ready to discuss your data engineering and ETL needs? Send me a message. I respond within 2 hours during business hours.

Data Architect | Full-Stack Attribution: Segment ➔ Appsflyer ➔ Mixpanel ➔ BigQuery ➔ Looker Studio I architect end-to-end data pipelines that turn fragmented user interactions into a single source of truth. My expertise lies in the technical implementation of the Modern Data Stack, moving beyond basic tracking to building robust ETL/ELT workflows. Core Technical Workflow: Data Collection & Orchestration: Full-stack Segment implementation (Protocols & Functions) to centralize data streams from web and mobile. Mobile Attribution: Expert AppsFlyer configuration, including SDK event mapping, OneLink smart scripts, and cost-aggregation. Behavioral Analytics: Advanced tracking in Mixpanel and Amplitude to monitor complex conversion funnels, retention cohorts, and user journeys. Data Warehousing: Automating data pipelines from Segment/Mixpanel into BigQuery for advanced modeling and long-term storage. Visualization: Engineering high-fidelity Looker Studio dashboards that sync directly with BigQuery to track CAC, ROAS, and LTV. By bridging the gap between raw tracking and warehouse-level reporting, I ensure your marketing spend on Google Ads and Meta Ads is backed by 100% accurate, multi-touch attribution.

Need a data platform that works in production, not just on a whiteboard? I design and build end-to-end data systems that turn fragmented raw data into trusted analytics and AI-ready infrastructure. 10+ years experience. Founder of Vyntics. Delivered consulting solutions for AT&T, Patreon, Jumio & Acko. WHAT YOU GET: Reliable ETL/ELT pipelines (batch + streaming) that keep dashboards accurate and stop 2 AM debugging Cloud data platforms (AWS/GCP) optimized for scale, cost control, and long-term maintainability Production-grade AI/RAG systems: accurate retrieval, eval pipelines, and scalable deployment Legacy-to-cloud migrations with zero-downtime cutovers and built-in validation frameworks PROVEN IMPACT: Migrated enterprise warehouse to BigQuery: 40% lower query costs, zero downtime Built Databricks lakehouse (Delta + Unity Catalog) for governed self-service analytics Designed Snowflake + dbt architecture that cut ELT dev time by 60% Deployed RAG systems on real-world data with measurable accuracy and latency improvements HOW I WORK: Flexible engagement: I can architect your system in a focused 2-week discovery sprint, or lead full end-to-end delivery via my Vyntics team. Always production-first, cost-aware, and documented for your team's long-term success. BEST FIT FOR: Startups scaling infrastructure | Companies migrating legacy systems | Teams adding AI/RAG | Leaders who want clarity before heavy investment Evaluating your data strategy or stuck on architecture decisions? Message me with your challenge. I will reply with 2-3 actionable next steps, no obligation. Arun Mudgal Founder & Principal Consultant, Vyntics

I am a Senior Data Engineer with over 8 years of experience in building scalable data pipelines, designing and deploying cloud infrastructure (AWS, GCP), and architecting modern data platforms using tools like Snowflake, BigQuery, and Apache Airflow. My expertise spans end-to-end data architecture, ETL development, cloud migration, and real-time analytics. Whether it's automating data workflows or ensuring seamless integration across cloud platforms, my focus is on delivering high-quality, robust solutions that drive actionable insights for businesses. I’m passionate about translating complex data into meaningful business intelligence. Let's work together to optimize your data processes, create actionable insights, and take your data-driven decisions to the next level.

I’m a Product & Data Analyst helping startups turn user behavior data and manual workflows into clear insights and automated systems. I specialize in product analytics and tracking architecture, working with tools like Mixpanel, PostHog, and Amplitude to design event taxonomies, funnels, activation, retention, and churn analysis. Alongside analytics, I build no-code automations and internal tools using Softr, Airtable, and Make, enabling teams to automate reporting, streamline operations, and reduce dependence on engineering for everyday workflows. I’ve worked with 70+ clients globally, setting up scalable analytics foundations and automation systems that help teams move faster, make better decisions, and operate efficiently. If you’re looking for someone who understands both product data and no-code systems, I can help you build setups that are practical, scalable, and easy to maintain