Hire the Best SnapLogic Professionals

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.

Struggling to unlock value from your data or build scalable, high-performance analytics platforms? I’m 𝑯𝒂𝒔𝒆𝒆𝒃 𝑨𝒔𝒊𝒇,a Senior Data Engineer specializing in Databricks, Snowflake, Big Data Engineering, and scalable ETL/ELT solutions. With expertise in PySpark, Python, SQL, GCP, AWS, Azure, and NLP, I build high-performance data pipelines, cloud data platforms, and real-time analytics solutions. Experienced in data warehousing, cloud integration, machine learning workflows, and performance optimization to transform raw data into actionable business insights. Let’s build reliable, scalable, and data-driven solutions for your business growth. I’ve successfully completed 99+ projects across industries, designing ETL pipelines, MLOps workflows, Delta Lake architectures, and cloud analytics solutions on AWS, Azure, and GCP. ✔️ 𝑯𝒐𝒘 𝑰 𝑯𝒆𝒍𝒑 𝑩𝒖𝒔𝒊𝒏𝒆𝒔𝒔𝒆𝒔 𝑻𝒓𝒂𝒏𝒔𝒇𝒐𝒓𝒎 𝑫𝒂𝒕𝒂 𝒊𝒏𝒕𝒐 𝑰𝒏𝒔𝒊𝒈𝒉𝒕𝒔 ➜ Databricks & Big Data Engineering I specialize in designing enterprise-grade Databricks Lakehouse architectures and Delta Lake solutions. My expertise in Spark and PySpark allows me to build high-performance pipelines for both batch and real-time analytics, ensuring your data infrastructure is robust and scalable. ➜ Machine Learning & MLOps With a focus on machine learning and MLOps, I build and deploy predictive models using tools like MLflow and TensorFlow. I automate end-to-end ML pipelines to enhance efficiency and accuracy, driving impactful insights from your data. ➜ Cloud & Data Platforms I implement secure, scalable cloud solutions on platforms like AWS, Azure, and GCP. My experience includes cloud migration, Kubernetes, Docker, and CI/CD automation, ensuring seamless integration and optimal performance. ➜ ETL & Data Pipelines I develop reliable ETL processes and data pipelines that streamline data integration and transformation. My work with streaming analytics using Kafka and Spark ensures real-time data processing and actionable insights. ➜ Data Analyst & Visualization I create actionable dashboards and visualizations using Power BI, Tableau, and Databricks SQL. My focus is on driving KPI reporting and business intelligence to support strategic decision-making. ➜ Snowflake I leverage Snowflake's capabilities to build efficient data warehousing solutions, optimizing data storage and retrieval for enhanced performance and scalability. ➜ Python My proficiency in Python allows me to develop complex data processing scripts and machine learning models, ensuring robust and efficient data handling. ➜ NLP (Natural Language Processing) I apply NLP techniques to extract meaningful insights from unstructured data, enabling advanced text analytics and improved decision-making processes. ➜ GCP (Google Cloud Platform) I utilize GCP's powerful tools to design and deploy scalable cloud solutions, ensuring high availability and performance for your data-driven applications. ➜ Data Warehouses I design and manage data warehouses that provide a centralized repository for your data, facilitating efficient data analysis and reporting. ✔️ 𝑲𝒆𝒚 𝑻𝒐𝒐𝒍𝒔 & 𝑻𝒆𝒄𝒉𝒏𝒐𝒍𝒐𝒈𝒊𝒆𝒔 ▪ Databricks & Big Data: Databricks, Delta Lake, Apache Spark, PySpark, Unity Catalog, Kafka, Hadoop, Real-time Streaming ▪ Machine Learning: MLflow, TensorFlow, PyTorch, scikit-learn, Feature Store, Predictive Analytics, NLP ▪ Cloud Platforms: AWS, Azure, GCP, Kubernetes, Docker, CI/CD ▪ Analytics & BI: Power BI, Tableau, Databricks SQL, KPI Dashboards, Data Strategy ▪ Data Engineering: ETL Pipelines, Data Lakes, Data Warehousing, Data Migration, Performance Optimization ✔️ 𝑾𝒉𝒚 𝑪𝒉𝒐𝒐𝒔𝒆 𝑴𝒆 I combine deep technical expertise with practical business understanding, delivering scalable, cost-efficient, and AI-ready data solutions. My goal is to turn your data into a strategic asset that powers smarter decisions and measurable growth. Let’s collaborate to build your next-generation analytics platform and unlock the full potential of your data. Check my portfolio for architecture samples, dashboards, and case studies. Databricks Engineer, Big Data Consultant, Spark Developer, MLOps Engineer, Data Engineer, AWS Data Specialist, Azure Databricks, GCP Analytics, ETL Developer, Data Analytics, Delta Lake Expert, Machine Learning Engineer, Python, Database Architecture, Data Processing, ETL, Big Data, Database Design, Data Engineering, Data Analytics & Visualization Software, Data Visualization, Deep Learning Modeling, Data Warehousing & ETL Software, Snowflake, Amazon Web Services, ETL Pipeline, Machine Learning, Deep Learning, Data Science, Data Analysis, Cloud Engineering, Artificial Intelligence, Databricks Engineer, Big Data Consultant, Spark Developer, MLOps Engineer, Data Engineer, AWS Data Specialist, Senior Data Engineer specializing in Databricks, Snowflake, Big Data Engineering, and scalable ETL/ELT solutions. With expertise in PySpark, Python, SQL, GCP, AWS, Azure, and NLP

4+ years building BI end-to-end Infrastructure. I sit with the ambiguity, ask what your team hasn't, and translate fuzzy business goals into a clear data model and KPI framework that holds up under scrutiny. 🧠 𝐖𝐡𝐚𝐭 𝐈 𝐛𝐫𝐢𝐧𝐠 𝐭𝐨 𝐲𝐨𝐮𝐫 𝐭𝐞𝐚𝐦 🔹 Ambiguity → Clarity: I define the right questions and metrics before building anything, so you measure what matters, not what's easy. 🔹 Semantic & Data Modeling: Star schemas, slowly-changing dimensions, reconciled grain, single source of truth 🔹 Scalable Architecture: Pipelines and models designed for "Day 2", maintainable, cost-aware, documented, built to grow instead of breaking at scale. 🔹 Context Integration: I unify Stripe, Shopify, Zoho, GA4, Ads platforms, etc. and CRMs into one coherent ecosystem that mirrors how your business actually operates. 🔹 Narrative & Decision Design: Every visual answers a business question and points to an action, analysis a CEO can act on in seconds. ⚙️ 𝗧𝗲𝗰𝗵𝗻𝗶𝗰𝗮𝗹 𝗧𝗼𝗼𝗹𝗯𝗼𝘅 🔹 BI & Viz: Power BI, Looker Studio, Zoho Analytics, Metabase, Apache Superset, Domo, Databox 🔹 Modeling & Query: SQL, DAX, Power Query (M), Python, dbt, Excel 🔹 Warehousing: BigQuery, Cloud SQL, Snowflake, SQL Server, MySQL, Firebase 🔹 Pipelines & ETL: Make, n8n, Fivetran, Apps Script, Cloud Run, Windsor AI, Coupler IO, Supermetrics 🔹 Sources: Stripe, Shopify, Zoho CRM, GA4, Google/Meta/TikTok Ads, Search Console, etc. 🔹 AI layer (the plus): OpenAI & Claude APIs, Claude Code, Codex, conversational analytics, anomaly detection, predictive models, and agent workflows for automated briefings & alerts 🚀 𝗪𝗵𝗮𝘁 𝗦𝗲𝘁𝘀 𝗠𝗲 𝗔𝗽𝗮𝗿𝘁 🔹 Business-first, not tool-first: I start with your objectives and constraints, not your dataset. 🔹 End-to-end ownership: From auditing sources and defining KPIs to modeling, building, and publishing, I run the full lifecycle. 🔹 Transparency: You own your data and infrastructure. I document every step, so nothing is a black box. 🔹 AI as leverage, not a gimmick: I automate the repetitive parts so the strategic parts get more of my attention. ⭐ 𝗪𝗵𝘆 𝗖𝗹𝗶𝗲𝗻𝘁𝘀 𝗦𝘁𝗮𝘆 🔹 Reliable communication and clear expectations , no micromanagement needed. 🔹 Insights in plain language, for technical and non-technical stakeholders alike. 🔹 Proactive: I diagnose and recommend, not just deliver charts. 🔹 Consistent delivery, on time, with care. 💡 𝗟𝗲𝘁'𝘀 𝗕𝘂𝗶𝗹𝗱 𝗬𝗼𝘂𝗿 𝗗𝗲𝗰𝗶𝘀𝗶𝗼𝗻 𝗦𝘆𝘀𝘁𝗲𝗺 If your business generates data but not clarity, let's fix that. I'll design the model, architecture, and dissemination layer that turn your numbers into a durable competitive advantage, clear, scalable, and genuinely yours.

Hi, I'm Param — Top Rated Product & Marketing Analytics Expert helping businesses build reliable tracking, fix attribution issues, and turn data into measurable growth with PostHog, Mixpanel, Amplitude, GA4, GTM, AppsFlyer, BigQuery, and Looker Studio. If your tracking is broken, conversions don't match across platforms, or you can't trust your analytics data, I can help you build an analytics foundation you can rely on. I work with SaaS, eCommerce, and mobile app companies to build reliable analytics systems that give marketing, product, and leadership teams confidence in their data. Whether you're launching analytics from scratch, auditing an existing setup, or fixing attribution issues, I help you transform fragmented data into accurate, actionable insights. From event tracking and server-side implementations to mobile attribution, data pipelines, and executive dashboards, I deliver analytics solutions that are accurate, scalable, and built for long-term growth. I work closely with founders, marketers, product managers, and developers to design tracking strategies, validate every event, and build dashboards that support confident business decisions. ✅ Services I Offer ✅Product Analytics I implement and optimize PostHog, Mixpanel, and Amplitude to help you understand how users interact with your product. Services include event tracking, funnel analysis, retention reporting, feature adoption, session recordings, heatmaps, and product analytics dashboards. ✅ Marketing Analytics I build reliable Google Analytics 4 (GA4) and Google Tag Manager (GTM) implementations for accurate marketing measurement. I also configure Enhanced Ecommerce, cross-domain tracking, attribution analysis, Google Ads Conversion Tracking, and marketing dashboards. ✅ Mobile App Analytics & Attribution I help mobile apps measure installs, subscriptions, and in-app events with AppsFlyer, Firebase, and RevenueCat. From SDK implementation to attribution validation, I ensure your marketing data is accurate and actionable. ✅ Server-Side Tracking Improve conversion accuracy with Server-Side GTM, Stape, Meta Conversions API (CAPI), Google Ads Enhanced Conversions, LinkedIn CAPI, TikTok Pixel, and X Pixel. I help reduce data loss while improving attribution and campaign performance. ✅ Data Engineering & Reporting I connect your marketing and product data to BigQuery, Snowflake, Amazon Redshift, Airbyte, Fivetran, and Segment. I also build executive dashboards in Looker Studio that turn complex data into clear business insights. ✅ Common Problems I Solve Many businesses struggle with inaccurate analytics, missing conversions, and inconsistent attribution across platforms. I help identify and fix tracking issues so you can trust your marketing and product data. Whether it's GA4 revenue not matching Shopify or Stripe, duplicated events, unreliable product analytics, or dashboards showing incorrect numbers, I make sure your data tells the real story. ✅ My Process Every project starts with understanding your business goals, KPIs, and existing tracking setup. I then create a scalable tracking plan that aligns with your marketing and product objectives. Once the strategy is defined, I implement, validate, and thoroughly test every event, conversion, and attribution flow. Finally, I deliver clear dashboards, documentation, and ongoing support to ensure long-term success. ✅ Tech Stack I work with leading analytics and marketing technologies, including PostHog, Mixpanel, Amplitude, Google Analytics 4 (GA4), Google Tag Manager (GTM), AppsFlyer, Firebase, RevenueCat, BigQuery, Snowflake, Redshift, Airbyte, Fivetran, Segment, and Looker Studio. For server-side tracking and attribution, I implement Meta Conversions API (CAPI), Google Ads Enhanced Conversions, LinkedIn Insight Tag, TikTok Pixel, X (Twitter) Pixel, and Server-side GTM using Stape. ✅ What You'll Get You'll receive accurate tracking, reliable attribution, clean event data, and dashboards that provide clear visibility into your marketing and product performance. Every implementation is thoroughly tested to ensure your data is trustworthy. My goal is to give you a scalable analytics foundation that helps you measure growth, optimize campaigns, understand user behavior, and make confident business decisions. Whether you need a complete analytics implementation, a tracking audit, server-side tracking, product analytics, marketing attribution, or help fixing unreliable data, I'd be happy to discuss your goals and recommend the best solution for your business.

I help ecommerce and marketing teams get clean, reliable data they can actually act on — from tagging and tracking setup to dashboards and reporting. My work spans the full analytics stack: auditing and rebuilding GTM containers, implementing GA4 with proper ecommerce tracking, configuring Consent Mode v2 for GDPR/CCPA compliance, and building Looker Studio dashboards connected to sources like Snowflake, BigQuery, and Google Ads. Recent projects include a full tag and attribution audit for a multi-storefront DTC brand (identifying a rogue GA4 property and cross-domain tracking breaks), a Consent Management Platform implementation (Cookiebot/CookieYes) across WordPress and Shopify sites with Consent Mode v2, and Looker Studio dashboards pulling from Snowflake data warehouses.

I build data platforms that work at scale and keep working as your business grows. Over the past 10 years I've served as the lead or founding data engineer across fintech, e-commerce, ride-hail, legal tech, and cybersecurity companies. That means I've designed systems from scratch, made architecture decisions with no one to fall back on, and delivered platforms that product teams actually use. Here's what I typically get hired to do: → Build greenfield data platforms on AWS or GCP from the ground up → Design and ship production ETL/ELT pipelines (Airflow, Dagster, dbt) → Set up scalable warehouses and governance (Snowflake, BigQuery, Redshift) → Implement real-time streaming pipelines (Kafka, Spark Streaming, CDC) → Build AI-powered data applications (RAG, LLMs, LangChain, vector DBs) → Fix broken or unreliable pipelines and make them production-grade → Architect cloud infrastructure on AWS, GCP, Azure (Terraform, Kubernetes) Recent work includes: - Led data platform engineering for a US e-commerce company processing billions of events daily. I re-architected ingestion pipelines, built Snowflake governance from scratch, introduced Prometheus monitoring and CI/CD standards across the platform. - Built a full data platform on GCP (BigQuery, Dataproc, Airflow) for a music streaming company. Firebase, AppsFlyer, and app store data all flowing into one warehouse within weeks. - Designed an AWS data platform for a ride-hail company managing 500+ streaming and 700+ batch jobs — including a self-serve portal that replaced multi-step CLI workflows for engineers. - Built a legal AI search engine using LangChain, Pinecone, and RAG — full pipeline from document ingestion to LLM-generated answers, deployed on AWS with auto-scaling. - Built an AI inventory insights agent for a US automotive company — multi-source data pipelines, real-time APIs, conversational interface. I work in English daily, communicate proactively, and deliver production- ready code — not prototypes. I'm used to working directly with CTOs and technical leads in US and European time zones. Tools I work with regularly: Python · SQL · Airflow · Dagster · dbt · Snowflake · BigQuery · Spark · Meltano · Kafka · AWS (S3, EMR, Glue, ECS, Lambda, EC2, EKS) · Databricks · GCP · Azure Terraform · Docker · Kubernetes · LangChain · FastAPI · MLflow · Weaviate, Celery If you're building a data platform, fixing one, or adding AI/ML capabilities to your stack, let's talk.