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I build modern data systems that help companies centralize operations, automate workflows, and make better business decisions from their data. My background combines: • Data Engineering • Analytics Engineering • Data Architecture • Business Intelligence • AI Integrations & Automation I work with companies that have grown beyond spreadsheets, disconnected tools, unreliable reporting, and manual operational processes — and need scalable systems that actually support the business. ━━━━━━━━━━━━━━━━━━━ WHAT I DO ━━━━━━━━━━━━━━━━━━━ ▶ Data Engineering & Architecture • Design scalable modern data platforms • Build ETL / ELT pipelines and ingestion frameworks • Architect Snowflake and Databricks environments • Implement medallion architecture and dimensional models • Build orchestration workflows with Airflow • Develop dbt transformation layers and semantic models • Optimize pipeline reliability, performance, and cost ▶ Analytics & Business Intelligence • Executive KPI systems and reporting platforms • Power BI & Tableau dashboard development • Operational analytics and forecasting systems • Revenue, funnel, and performance analysis • Data modeling for reporting and self-service analytics • Trusted metric layer and reporting standardization ▶ AI Solutions & Intelligent Automation • LLM integrations (OpenAI, Claude, Cortex AI) • AI-powered operational workflows • AI-assisted reporting and analytics systems • Automated enrichment, classification, and insight generation • Internal AI tools connected to company data • Workflow automation reducing manual operational overhead ▶ CRM & Operational Systems • Salesforce, HubSpot, and Close CRM integrations • CRM migration and restructuring projects • Sales pipeline analytics and operational reporting • Business process automation and system integration ━━━━━━━━━━━━━━━━━━━ RECENT PROJECTS ━━━━━━━━━━━━━━━━━━━ • Built end-to-end analytics platforms (API integrations → orchestration → Snowflake → BI dashboards) • Developed AI-assisted property valuation and operational analysis workflows • Designed KPI standardization platforms consolidating metrics from hundreds of BI reports • Built Airflow orchestration and CI/CD workflows using GitHub Actions • Implemented scalable reporting systems used by leadership and operations teams • Improved CRM reporting accuracy and operational visibility across multiple business functions • Built medallion-based data architectures supporting analytics and self-service reporting ━━━━━━━━━━━━━━━━━━━ TECH STACK ━━━━━━━━━━━━━━━━━━━ Python • SQL • Snowflake • Databricks • Airflow • dbt Power BI • Tableau • Azure • AWS • APIs • GitHub Actions LLM / AI Integrations • Workflow Automation ━━━━━━━━━━━━━━━━━━━ I focus on building systems that are not only technically strong, but also practical, scalable, and aligned with real business operations. Whether you need a modern data platform, executive reporting system, AI-powered workflow automation, or a complete analytics architecture — I can help design and build the solution end-to-end.

Greetings! I hope you are doing well, A highly accomplished and results-oriented Chartered Accountant (ACA) offering 15 years of comprehensive experience across India and Africa. Possessing strong track record in establishing and executing risk-based internal audits, ensuring robust SOX (IFCR) compliance, developing and implementing Enterprise Risk Management (ERM) frameworks, and driving business process re-engineering initiatives. Expertise extends to cost management, revenue assurance, accounting and finance operations, and strategic business planning and analysis. Proven ability to lead teams, engage stakeholders effectively, and leverage ERP systems such as SAP, Oracle, and Tally ERP. Industry experience spans Real Estate (Rental Properties & Apartments), Hospitality (Hotels & Resorts), Construction, Telecom, Manufacturing (FMCG & Textile), Insurance, Service and Trading sectors. Key Skills • Audit & Compliance: Risk-Based Internal Audits, SOX/IFCR Compliance, Audit Planning & Execution, Audit Reporting, Audit Committee Preparation • Risk Management: Enterprise Risk Management (ERM) Framework Development & Implementation, Risk Assessment & Mitigation • Financial Management: Accounting & Finance, Costing, Revenue Assurance, Business Planning & Analysis, Budgeting & Forecasting, Cash Flow Management, Fund Flow Management, Financial Reporting (MIS) • Process Improvement: Business Process Re-engineering, Standard Operating Procedures (SOPs) Development • Stakeholder Engagement & Communication: Cross-functional Collaboration, Stakeholder Management, Presentation Skills • ERP Systems: SAP, Tally ERP 9.0 and Oracle(Report Extraction), • Team Leadership & Management: Team Leadership, Performance Management, Mentoring • Software Proficiency: MS Office Suite (Excel, Word, PowerPoint, Access) • Regulatory Compliance: GST, TDS, TCS, PF, ESIC, VAT, Withholding Tax • Greenfield projects handlings • Audit Report Writing using Power point, Word & Excel • US Non-profit Accounting (US Certification in Non-profit accounting) I will serve your requirement as per the job details shared Regards Hatim

Most data pipelines don't fail loudly. They rot quietly. A job starts silently skipping rows. A dashboard still loads, but the numbers stopped matching reality weeks ago. The warehouse bill creeps up because nobody ever tuned the queries. Eventually someone exports to a spreadsheet "just to be sure" and that's the moment the system stopped being trusted. That's the work I do: build data pipelines and warehouses people actually rely on, and fix the ones that quietly stopped working. Over the last 3 years I've delivered 55+ data projects across finance, healthcare, energy, and e-commerce, from one-off ETL jobs to platforms processing billions of records a day. I work GCP-first (BigQuery, Airflow, dbt, Dataflow), and I'm comfortable across AWS, Postgres, and the messy real-world stack most teams actually have. What I build: - End-to-end ETL/ELT pipelines in Python, SQL, Airflow, and dbt - BigQuery / Snowflake / Redshift warehouses and data models that stay clean as they grow - Migrations off legacy jobs and on-prem databases — without losing data in the move - Metabase, Looker Studio, and Power BI dashboards your team will actually open - Query and cost optimization when your warehouse bill stops making sense - API integrations with proper logging, retries, and checkpoints, so failures are visible instead of silent You probably need me if: - Your pipelines break and you hear it from a stakeholder, not an alert - Reports run slow, cost too much, or quietly disagree with each other - A previous developer left and nobody fully understands the setup anymore - You're scaling fast and the current data stack is starting to crack A few real results: - Architected pipelines processing 5B+ records daily at 99% reliability - Cut a client's warehouse costs ~50% by migrating legacy jobs to BigQuery - 4× throughput and 70% faster ingestion on an API pipeline pulling 2K+ domains a day - 40% faster pipeline runs through Airflow optimization How I work: a clear yes/no on feasibility before you commit, regular updates, and no disappearing mid-project. Most clients come back — usually because fixing one thing surfaces the next. If that sounds like your situation, send a short note on what's breaking or what you're trying to build, and I'll tell you straight what it'll take.

Senior Data Engineer building production ETL/ELT pipelines, cloud data warehouses, and analytics platforms that turn fragmented data into reliable, business-ready insight. Over 1,700 hours on Upwork with a 100% Job Success Score, specializing in Airflow orchestration, dbt transformation, and Snowflake/BigQuery warehousing across AWS, GCP, and Azure. 𝗪𝗵𝗮𝘁 𝗜 𝗯𝘂𝗶𝗹𝗱 𝗗𝗮𝘁𝗮 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿𝗶𝗻𝗴 & 𝗣𝗶𝗽𝗲𝗹𝗶𝗻𝗲𝘀 - ETL/ELT pipelines (batch + streaming) - Workflow orchestration with Airflow, Dagster, MWAA, Step Functions - Data ingestion, replication, and CDC with Fivetran, Airbyte, Meltano - Pipeline monitoring, alerting, and cost optimization 𝗗𝗮𝘁𝗮 𝗪𝗮𝗿𝗲𝗵𝗼𝘂𝘀𝗶𝗻𝗴 & 𝗠𝗼𝗱𝗲𝗹𝗶𝗻𝗴 - Snowflake, BigQuery, Redshift, Databricks, ClickHouse, Postgres - Star, Snowflake, Kimball, and Data Vault modeling - Schema evolution, partitioning, and clustering - Query performance tuning for BI workloads 𝗖𝗹𝗼𝘂𝗱 & 𝗜𝗻𝗳𝗿𝗮𝘀𝘁𝗿𝘂𝗰𝘁𝘂𝗿𝗲 - AWS (S3, Lambda, Glue, Athena, MWAA, Step Functions) - GCP (BigQuery, Pub/Sub, Cloud Functions, Dataflow) - Azure (Data Factory) - Docker, Kubernetes (EKS/GKE/AKS), Helm 𝗥𝗲𝗮𝗹-𝗧𝗶𝗺𝗲 & 𝗦𝘁𝗿𝗲𝗮𝗺𝗶𝗻𝗴 - Apache Kafka, Spark Structured Streaming - Event-driven architectures - CDC pipelines for low-latency analytics 𝗔𝗻𝗮𝗹𝘆𝘁𝗶𝗰𝘀 & 𝗕𝗜 - Power BI, Looker, Tableau, Looker Studio - Superset, Metabase, Klipfolio - Semantic layers and self-service KPI dashboards 𝗥𝗲𝗰𝗲𝗻𝘁 𝗣𝗿𝗼𝗷𝗲𝗰𝘁 𝗜𝗺𝗽𝗮𝗰𝘁 - Built a real-time FinTech analytics platform (Markets4U) with ClickHouse and Power BI for sub-second dashboard latency - Designed a smart real estate analytics stack (ECAP) using Airflow, dbt, and Snowflake for automated property reporting - Unified Salesforce and operational data (ASR) into a centralized customer analytics layer with Power BI - Modernized a legacy Excel reporting workflow into a full Airbyte → dbt → BigQuery → Looker Studio pipeline 𝗪𝗵𝘆 𝗰𝗹𝗶𝗲𝗻𝘁𝘀 𝗸𝗲𝗲𝗽 𝗵𝗶𝗿𝗶𝗻𝗴 𝗺𝗲 - 𝗘𝗻𝗱-𝘁𝗼-𝗲𝗻𝗱 𝗼𝘄𝗻𝗲𝗿𝘀𝗵𝗶𝗽: architecture → development → deployment → documentation - 𝗕𝘂𝘀𝗶𝗻𝗲𝘀𝘀-𝗳𝗶𝗿𝘀𝘁: data shaped to support decisions, not just processed - 𝗖𝗹𝗲𝗮𝗿 𝗰𝗼𝗺𝗺𝘂𝗻𝗶𝗰𝗮𝘁𝗶𝗼𝗻: frequent updates, no surprises, proactive escalation - 𝗣𝗿𝗼𝗱𝘂𝗰𝘁𝗶𝗼𝗻-𝗴𝗿𝗮𝗱𝗲: modular, testable, scalable pipelines built to grow with your product Send me a message about your data challenge, I'll review it and recommend the cleanest path forward.

Is your team stuck waiting on reports, fighting broken pipelines, or staring at dashboards nobody trusts? I build the data systems — and the dashboards on top — that fix that. I'm a Top Rated Data Engineer and Tableau Developer who builds the full stack: reliable ETL/ELT pipelines underneath, and clear, decision-ready dashboards on top. Most clients hire me when their data is messy, their reporting is manual, or their dashboards don't match the numbers leadership actually needs. What I typically get hired to do: 🔧 Build and fix ETL/ELT pipelines (Python, SQL, PostgreSQL) — including rescuing broken, unreliable ones and making them production-grade 🏗️ Design data warehouses & Medallion-architecture models (PySpark / Databricks, star schemas) 📊 Build interactive Tableau & Power BI dashboards with advanced calculations, LODs, and clean data-storytelling 🤖 Automate manual reporting & data entry with Python (Selenium, Playwright, paramiko) and AI/LLM integration (OpenRouter, OCR pipelines) 🔗 Integrate APIs, databases, SharePoint, Google Sheets, and SaaS sources into one trusted reporting layer Recent results: Built an end-to-end network-supervision platform (React + FastAPI + PostgreSQL) with gold-layer KPIs and live dashboards for a national rail operator. Raised entity-resolution match coverage from 52% to ~59% with a multi-layer (exact + fuzzy + NLP) Python pipeline, delivered as a client-ready Excel tool. Automated an invoice-processing pipeline (PDF OCR → Google Sheets → POS data entry) that removed hours of manual work for a semi-technical client. Designed Tableau monitoring dashboards (projection & attribution tracking) with calculated fields, conditional formatting, and dual-axis combo charts. Tech stack: Python · SQL · PostgreSQL · PySpark / Databricks · Tableau (Desktop, Cloud, Public) · Power BI · Airflow-style orchestration · FastAPI · Selenium / Playwright · ETL/ELT · Medallion architecture · OpenRouter / Azure OpenAI If your data stack is messy, slow, or hard to trust — or you need dashboards your leadership will actually use — send me a message and let's scope it.

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!