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Hi there, I’m Omer. I’m a CRM Specialist, HubSpot Specialist and Marketing Analytics Specialist focused on helping teams turn scattered CRM, marketing, website, sales and revenue data into clear dashboards, reliable reporting systems and decision-ready insights. I work with a HubSpot Partner team and help companies improve HubSpot reporting, CRM visibility, pipeline tracking, sales performance reporting, marketing analytics and revenue analytics. My work often includes HubSpot dashboards, CRM reporting, Looker Studio dashboards, GA4 reporting, GTM tracking, BigQuery reporting, Google Sheets workflows, API-fed dashboards and multi-source reporting systems. As a CRM Specialist, I help teams understand what is happening inside their CRM. This includes lead source tracking, lifecycle stage reporting, deal pipeline visibility, CRM data cleanup, sales activity reporting, conversion tracking and revenue reporting. As a HubSpot Specialist, I help teams structure HubSpot data in a way that makes reporting easier and more reliable. This can include HubSpot CRM dashboards, HubSpot reporting setup, HubSpot pipeline reporting, HubSpot lifecycle tracking, HubSpot lead attribution and HubSpot marketing-to-sales visibility. As a Marketing Analytics Specialist, I help growth, marketing and sales teams understand campaign performance, lead quality, funnel conversion, website activity, source attribution and revenue impact. The goal is not just to report numbers, but to show what is working, what is underperforming and where the team should focus next. As a Looker Studio Specialist and Data Visualization Specialist, I build clean dashboards that connect CRM, website, campaign and sales data into one clear view. I focus on making dashboards simple to read, easy to trust and useful for daily decision-making. I’m typically hired to help with: * CRM reporting dashboards * HubSpot reporting and HubSpot dashboards * HubSpot CRM analytics and HubSpot pipeline visibility * CRM data cleanup and reporting structure * Marketing analytics dashboards * Looker Studio dashboard development * GA4, GTM and BigQuery reporting setups * Lead source tracking and funnel reporting * Campaign performance reporting * Revenue reporting and sales performance dashboards * Lifecycle stage reporting and conversion tracking * Multi-source dashboards combining HubSpot, website, paid ads and sales data * Automated reporting systems and API-fed dashboards * Executive dashboards for growth, marketing and sales teams Core expertise: * CRM Specialist, CRM Reporting, CRM Analytics * HubSpot Specialist, HubSpot Reporting, HubSpot Dashboards * HubSpot Partner reporting workflows and CRM visibility * Marketing Analytics Specialist, Campaign Reporting, Funnel Reporting * Looker Studio Specialist, Looker Studio Dashboards * Data Visualization Specialist, Dashboard Design * GA4, Google Tag Manager, BigQuery, Google Sheets and APIs * Pipeline Reporting, Revenue Analytics, Sales Reporting * KPI Reporting, Reporting Automation and Business Intelligence A large part of my work focuses on helping teams move away from scattered spreadsheets, disconnected CRM exports and manual reporting. I build clean reporting systems that connect HubSpot CRM data with marketing, website, campaign and sales performance so teams can clearly see what is driving pipeline and revenue. If you need a CRM Specialist, HubSpot Specialist, Marketing Analytics Specialist, Looker Studio Specialist or Data Visualization Specialist to improve your CRM reporting, HubSpot dashboards, marketing analytics or revenue visibility, feel free to invite me on Upwork or send me a direct message.

Struggling to understand your marketing data or track conversions accurately? I help businesses fix tracking, automate reporting, and turn raw data into revenue-driving insights. 🥇 Top-Rated Plus | 100% Job Success 📊 1,000+ Dashboards & Reports Delivered 🌎 200+ Successful Projects | 75% Repeat Clients 🔍 I Specialize In: 1. Marketing Analytics & Tracking GA4 setup & migration Google Tag Manager (GTM) Server-side tracking Cross-domain tracking Measurement Protocol & offline conversions First-party data tracking 2. Conversion Tracking & Attribution Google Ads conversion tracking Meta (Facebook/Instagram) CAPI LinkedIn, TikTok, Pinterest tracking Custom attribution models PMax & dynamic remarketing setups 3. Data Visualization & Dashboards Looker Studio Tableau Power BI Automated KPI dashboards Excel/Google Sheets reporting 4. Data Engineering & Automation BigQuery SQL (complex models, event-level data, joins) DBT, Fivetran, Stitch, Supermetrics, Windsor.ai Automated ETL pipelines & data warehouses 5. E-commerce Tracking & Analytics Shopify, WooCommerce, Magento, BigCommerce, PrestaShop Enhanced e-commerce tracking Funnel analysis & CRO insights 6. SEO & Web Analytics Keyword performance tracking Organic traffic reporting Google Search Console analysis 💡 Why Clients Hire Me: ✔ Accurate Tracking — I fix broken tracking, dedupe conversions, and make data trustworthy ✔ Better Decisions — Custom dashboards that reveal revenue drivers ✔ AI-Powered Insights — Predictive metrics & automated anomaly detection ✔ Faster Reporting — Automation saves 10+ hours/week ✔ Cross-Industry Experience — E-commerce, SaaS, DTC, B2B, Lead Gen 🧠 My Core Tech Stack Tracking & Analytics: GA4, UA, GTM, Server-Side, CAPI Data & Automation: BigQuery, SQL, DBT, Fivetran, Stitch, Supermetrics Dashboards: Looker Studio, Tableau, Power BI Ads Platforms: Google Ads, Meta, LinkedIn, TikTok, Twitter E-commerce: Shopify, WooCommerce, BigCommerce, Magento SEO Tools: GSC, SEMrush, Ahrefs 📬 Let’s Work Together Need precise tracking, smart dashboards, and actionable insights to grow faster? Reach out, and I’ll set up a dependable analytics system designed to maximize ROI.

🏆 Top Rated Plus 🌟 100% Job Success 🤝 Satisfied Clients ⏱ Quick Turnaround 📞 Clear Communication Why work with me? Proven Experience: 💎 Backed by 15+ years of delivering results through scalable, cost-efficient data solutions. Technical Expertise: 💎 AI-Data Architecture: I deliver real-world-ready data through automated, reliable pipelines. The new AI era requires a new data platform. 💎 Conversational Analytics & AI Agents: Enable users to chat with their data through AI-driven interfaces. Google Conversational Analytics API and Gemini Enterprise 💎 Data Visualization: Skilled in Looker, Looker Studio, Power BI, Tableau, Superset, and others. 💎 Data Web Portals: Skilled in developing custom embeddable solutions and full web platforms under your own brand and domain. 💎 Database Management: Expertise in SQL (BigQuery, SQL Server, Oracle, MySQL, PostgreSQL, Snowflake) and NoSQL systems. 💎 ETL: Experience with both streaming and batch pipelines using Airflow, Apache Beam, Kafka, Debezium, Pub/Sub, and others. 💎 Data Modeling: Proficient with dbt, Dataform, and PySpark. 💎 Version Control: Comfortable with Git-based tools (GitHub, Bitbucket, GitLab, Azure DevOps). 💎 Cloud Platforms: Certified and experienced in GCP, AWS, and Azure. 💎 Unstructured Data: JSON, XML, Excel, Google Sheets. 💎 GA4 Data: Google Analytics 4 for advanced analysis. Soft Skills & Work Ethic: 💎 Versatile & Adaptive: Quick to learn new tools, roles, and business domains. 💎 Value-Driven: Focused on delivering high-impact outcomes with cost-efficiency. 💎 Detail-Oriented: Committed to precision and quality in every task. 💎 Reliable & Time-Conscious: Consistent delivery of high-quality work on time. 💎 Leadership: Capable of guiding teams and leading initiatives when needed. 💎 Analytical: Skilled at breaking down complex problems and finding effective solutions. 💎 Collaborative: Strong team player, effective in multidisciplinary environments. Scalable Technical Capacity: I’m supported by a network of 15+ specialists, including Solution and Data Architects, Developers, Designers, Process Specialists, DevOps Engineers, Machine Learning Engineers, Data Scientists, Data Analysts, and more. We work collaboratively to ensure your project receives the strongest possible technical support, from strategy to execution. How I approach projects: - Kick-off meeting to review requirements and deliverables - Action plan development using a project management tool - Weekly demo meetings to showcase progress - Detailed time and task tracking - Continuous feedback loop to ensure alignment and improvement - Complete documentation of the solution

With 10 years of strong expertise in Data Engineering, Big Data Technologies, Python, Cloud Infrastructure, and Business Intelligence, I build end-to-end data platforms from ingestion and transformation to analytics-ready warehouses and executive dashboards. If you need clean, structured, and production-ready data architecture, I can design and implement it efficiently. What I Can Help You With Data Engineering & ETL: Building scalable ETL / ELT pipelines Apache Airflow & workflow orchestration Apache Spark, Hadoop ecosystem Python Batch & real-time data processing Data cleaning & transformation Data quality validation Workflow automation Big Data & Streaming: Apache Spark (batch & distributed processing) Kafka, Flink, Spark Streaming HDFS & Data Lake architectures Hive, Pig, HBase Distributed data systems Data Warehousing & Databases: Snowflake, BigQuery, Amazon Redshift Star Schema & Snowflake Schema design OLAP & analytical modeling Query optimization & indexing SQL (PostgreSQL, MySQL, SQL Server) NoSQL (MongoDB, Cassandra, Redis) Transaction & ACID compliance Cloud & DevOps: AWS (S3, EC2, Lambda, RDS, IAM, VPC, ECS, ECR, CloudFront, API Gateway) GCP (BigQuery, Dataflow, GKE, Cloud SQL, Cloud Storage) Azure (Data Factory, Storage, Data Lakes) Docker, Microservices & Kubernetes Terraform (Infrastructure as Code) CI/CD pipelines Scalable cloud architecture Cloud Migrations: AWS RDS, Google Cloud SQL, Azure SQL Database Moving workloads and applications between cloud providers (AWS to GCP, Azure to AWS, etc.) Leveraging microservices and containers for moving applications to the cloud Moving data between cloud storage systems, data lakes, and warehouses Rehosting applications or services in a new environment with minimal change to the codebase. Business Intelligence & Analytics: Power BI & Tableau dashboards DAX & Power Query KPI development Business performance reporting Data storytelling & insights Data Extraction & Automation: Web scraping using BeautifulSoup, Scrapy, Selenium, and Playwright Automated data extraction from dynamic and JavaScript-rendered websites API integration and structured data parsing CAPTCHA handling and rate-limit management Scheduled scraping workflows using Airflow and Cron Data cleaning, validation, and structured database storage

⚡ Data pipelines breaking, slow, or too expensive? That’s exactly what I fix. I help companies turn messy, unreliable data systems into scalable, high-performance pipelines — so teams can actually trust their data and move faster. Over the past few years, I’ve built and optimized data platforms handling 50GB/day streams to 500GB+ processing workloads, across ecommerce, fintech, real estate, and SaaS. 🔑 What I Deliver (Real Outcomes, Not Just Tools) 🔹 Robust ETL/ELT Pipelines: Built on AWS Glue, Azure Data Factory, Databricks, Airflow → Designed for zero-failure execution & recovery-safe architecture 🔹 Cloud Data Warehousing: Redshift, Snowflake, BigQuery, Azure Synapse → Structured for fast queries, low cost, and scalable analytics 🔹 Real-Time & Batch Processing: PySpark, Kafka, Delta Lake → Handling millions of records daily with optimized latency 🔹 AI-Ready Data Foundations: → Clean, structured pipelines ready for ML models, LLMs, and BI tools. 🔹 Performance Optimization: → Reduced processing time by 50% on production workloads → Optimized queries & pipelines saving compute cost + runtime 🔹 Business Intelligence Layer: Power BI, Looker Studio → Dashboards that leadership teams actually use for decisions. 📦 Proven at Scale:- 🏪 Ecommerce Data Platform (1M+ stores | 500K customers): Built end-to-end ETL pipelines using AWS Glue Implemented incremental (delta) processing across multiple data sources Designed Redshift warehouse for high-volume analytics Delivered Power BI dashboards for business insights ✅ Enabled AI-driven personalization for 100K+ active users ✅ Reduced manual data dependency across teams 💳 FinTech / Freight Billing AI Platform: Designed data infrastructure for AP/AR automation Integrated ERP + TMS systems via APIs Built real-time dashboards + audit tracking ✅ Improved financial visibility & reconciliation accuracy ✅ Enabled automated decision-making for cash flow optimization 🏠 Real Estate Data Intelligence Platform: Built pipelines ingesting: Zillow Realtor HUD Census Crime datasets Centralized into PostgreSQL + Azure Data Warehouse ✅ Computed ROI, NOI, Cap Rate, Cash Flow at scale ✅ Enabled investment decision analytics 📊 Retail Location Intelligence (Databricks / Snowflake): Processed ~500GB mobile location data Built anomaly detection using moving averages ✅ Automated detection of: data drops duplicates false entries 🔧 Logistics Optimization (Azure): Replaced upsert with SQL MERGE ✅ Reduced processing time by 50% ✅ Achieved zero data loss in production pipelines 📡 Wellness Data Platform: Consolidated fragmented APIs into unified pipelines ✅ Fixed data failures on 250MB+ tables (~1GB compute load) ✅ Improved data consistency and pipeline reliability

I'm a Senior Data Engineer with 8+ years of strong technical expertise in building reliable and scalable data infrastructure, from data ingestion to transformation to warehousing, streaming, and data analytics, specializing in dbt, Snowflake, Airflow, Databricks (and more) across AWS, Azure, and GCP, with robust ELT and ETL pipelines. If your data pipelines are brittle, your data warehouse is slow, or your data was never built to scale, that is exactly what I fix, with fault tolerance, observability, and audit-ready quality engineered in from day one. I cover the full data engineering lifecycle: batch and real-time data pipelines, Modern Data Stack builds, lakehouse architecture, cloud and warehouse data migration, governance, and the data foundations that feed modern systems. 🎯 Core Expertise: ✅ Data Pipelines & Orchestration: End-to-end batch and real-time pipelines with Apache Airflow, Dagster, Prefect, AWS Step Functions, and Azure Data Factory. Idempotent, schema-drift tolerant, and monitored so failures surface before they reach your stakeholders. ✅ Cloud Warehousing & Lakehouse: Snowflake, BigQuery, Amazon Redshift, Databricks, and Microsoft Fabric, with Delta Lake and Apache Iceberg lakehouse foundations governed through the Glue Data Catalog and Lake Formation, with Athena and Redshift Spectrum for serverless queries, Medallion Architecture, partitioning, and performance tuning. ✅ Data Transformation & Modeling: dbt (Core and Cloud), SQLMesh, Spark and PySpark on EMR and AWS Glue, Star Schema and dimensional modeling, analytics engineering best practices, full test coverage, and CI/CD for data models. ✅ Streaming & Real-Time Analytics: Distributed streaming with Apache Kafka, Flink, Spark Structured Streaming, Kinesis, and Pub/Sub, including exactly-once semantics, dead-letter queues, CDC, and end-to-end latency guarantees. ✅ Data Ingestion & Integration: Fivetran, Airbyte, Matillion, Stitch, Hevo, Meltano, and custom CDC pipelines for near-real-time sync across structured, semi-structured, and unstructured sources. ✅ Data Quality, Governance & Observability: Automated data quality frameworks, SLA monitoring, auditable lineage, data catalog and metadata management, and observability that catches bad data early. ✅ Cloud Migration & Modernization: Zero-downtime migration handled end to end, from legacy warehouse assessment through cutover, with zero data loss and minimal downtime, replacing brittle ETL and ELT with a clean Modern Data Stack. ✅ AI-Ready Data Infrastructure: Pipelines engineered to feed LLMs and ML systems with clean, structured, high-quality data, from ingestion through transformation to serving. ------------------------------------------------------ ⚙️Tech Stack: ⚡ Warehouses & Lakehouse: Snowflake | BigQuery | Redshift | Databricks | Microsoft Fabric | Athena | Delta Lake | Iceberg ⚡ Transformation: dbt | SQLMesh | Spark | PySpark | AWS Glue | EMR | Star Schema | Medallion Architecture ⚡ Orchestration: Airflow (GCP Cloud Composer and AWS MWAA) | Dagster | Prefect | Azure Data Factory | Step Functions ⚡ Streaming: Kafka | Flink | Kinesis | Pub/Sub | Spark Structured Streaming | ClickHouse ⚡ Ingestion: Fivetran | Airbyte | Matillion | Stitch | Hevo | Meltano | CDC ⚡ Governance & Catalog: Glue Data Catalog | Lake Formation | Unity Catalog | Microsoft Purview | Dataplex ⚡ Cloud: AWS | GCP | Azure ⚡ Languages: Python | SQL (Snowflake, BigQuery, T-SQL, PL/pgSQL) | FastAPI ⚡ Databases: PostgreSQL | MySQL | SQL Server | DynamoDB | MongoDB ⚡ BI & Reporting: Looker | Tableau | Power BI | GA4 | Metabase | Superset | Streamlit | Grafana ------------------------------------------------------ ⭐ What Clients Say: 🏅 "Adarsh rebuilt our analytics pipeline on Snowflake, Airflow, and dbt, giving us reliable, version-ready data. Reporting accuracy improved overnight, and we can finally trust the numbers." – Anita, Head of Product, FinTech SaaS 🏅 "He designed a zero-downtime migration to a modern data warehouse that cut query latency by more than half while keeping our SLAs intact." – Daniel, VP of Data, AdTech Firm 🏅 "Clean architecture, solid dbt models, and Airflow pipelines running without issues for months. He brought a level of engineering discipline we hadn't seen from a data consultant before." – Mark, Director of Data Engineering, E-commerce Startup 🏅 "We came to him with a Spark pipeline costing us a fortune and delivering stale data. He restructured the workflow logic and cut processing time by 70%." – Leo, Head of Analytics, HealthTech SaaS ------------------------------------------------------ 🏆 TOP RATED PLUS | EXPERT-VETTED | Top 1% on Upwork | 8+ Years Experience | 100% Job Success 🚀 Ready to build a scalable, production-ready data infrastructure to turn your raw data into reliable, actionable business insights? Click the 'Invite to Job' button on the top right, and let's discuss your data pipeline!