Hire the Best Viasql Analytics Specialists

SAS consultant specializing in IFRS9 & IFRS17 regulatory implementations, SAS Viya 4, and risk reporting for banks and insurers. 4+ years delivering production-grade SAS solutions across some of MENA's largest financial institutions. Most SAS freelancers do one thing — write programs or run statistics. I cover the full lifecycle banks and insurers actually need: - Regulatory implementation — IFRS9 and IFRS17 on the SAS Solution: data-quality rules, staging/ETL alignment to input specs, model-run debugging, and reporting redesign. - Platform deployment & administration — SAS Viya 4 on Red Hat OpenShift, SAS 9.4 on RHEL, Ansible installs, LDAP integration, hotfixes/patches, and environment hardening. - Automation & development — Base SAS, Macros, DI Studio ETL, Stored Process batch chains, and SQL pass-through. - Reporting & BI — SAS ODS/EXCEL, SAS Visual Analytics, and Power BI dashboards for risk, fraud, and monthly bank reviews. Recent work: redesigned the IFRS9 implementation and reporting layer for a top-tier MENA bank, deployed SAS Viya 4 on OpenShift, automated an IFRS9 batch chain with Stored Processes, and ran a full security-remediation pass on a production SAS 9.4 environment (Log4j, end-of-life components, SSH hardening) with an audit-ready register. I hold the SAS Base Programming Specialist certification and an engineering degree in computer science (BI specialization). I work fluently in English and French. Need someone who can implement the regulation, stand up the platform, AND ship the report — not just one piece? Let's talk.

If your team is stuck in manual reports, broken pipelines or scattered data you can't rely on, I will build data pipelines, automation and analytics to turn the chaos into streamlined processes. Clean data in one place, workflows running 24/7, dashboards you can act on. Over the last 6+ years I've built ETL pipelines, data warehouses, automations and analytics systems across industries like Retail, Finance, Healthcare, Ecommerce and more, handling everything from raw source data to advanced BI reporting, streamlined pipelines and automated workflows. ⭐ 50+ data engineering, automation and analytics projects delivered ⭐ Top Rated Plus ( Top 3% ) ⭐ 1000+ Hours on Upwork ⭐ 100% Job Success Score 🔹Expertise: ✔️ SQL, Python, API Integrations & REST APIs ✔️ Power BI, Tableau, Looker, Looker Studio, Excel, Google Sheets ✔️ Snowflake, BigQuery, PostgreSQL, MySQL ✔️ ETL/ELT Pipeline Development & Data Integration ✔️ Data Modeling & Warehouse Architecture ✔️ AI Workflows & Automations ✔️ dbt, Airflow, Fivetran ✔️ AWS, GCP, Azure 🔹 Key Results: ✔ Built pipelines that process millions of rows daily ✔ Cut manual reporting work by 25+ hours/week through automation ✔ Designed analytics systems built to scale ✔ Comfortable working across both engineering and business-facing analytics I start by understanding what decision you're trying to make then build from there. so you get something working very quickly instead of long silence. Everything I build is documented and handed over properly. Also You'll get updates you don't have to chase. Send me a message or invite me for a job. I'll tell you straight whether I can help, what it would take, and how I'd approach it. Data Analytics | Business Intelligence | Looker Studio | Data Visualization | Data Engineering | ETL Pipeline | SQL | Python | Data Warehousing | ETL Software | Apache Airflow | dbt | Snowflake | BigQuery | PostgreSQL | Data Modeling | Database Architecture | Automation | Business Process Automation | API Integrations | Data Integrations | Data Analysis | ETL | API | Fivetran | Amazon Web Services | Looker | Machine Learning | Data Science | REST API | Data Transformation | Data Management | MySQL | Tableau | Microsoft Power BI | Data Infrastructure | Azure

I help companies build scalable data platforms that transform fragmented data into actionable insights. With 8+ years of experience in Data Engineering and Analytics, I specialize in designing modern data architectures, building reliable ETL/ELT pipelines, and developing AI-powered data solutions. My expertise includes: ✔ Data Warehousing: BigQuery, Snowflake, Redshift, PostgreSQL ✔ ETL/ELT Pipelines: Airbyte, Fivetran, Airflow, dbt, Python ✔ Cloud Platforms: Google Cloud Platform (GCP), AWS, Azure ✔ Data Modeling & BI: Looker, Power BI, Tableau, Qlik ✔ API & Connector Development: Shopify, Meta Ads, Google Ads, QuickBooks, Amazon SP-API, Sage, HubSpot ✔ AI & Automation: LLM integrations, RAG pipelines, data enrichment agents Recent achievements: • Built a multi-tenant retail analytics platform processing millions of records daily across multiple clients. • Developed custom connectors and automated ingestion pipelines reducing manual reporting effort by 90%. • Delivered marketing analytics solutions integrating data from 20+ advertising and eCommerce platforms. • Designed AI-driven enrichment systems that convert unstructured information into decision-ready datasets. I focus on building production-grade solutions that are scalable, cost-efficient, and easy to maintain. If you need help with data engineering, cloud migration, analytics infrastructure, or AI-enabled data platforms, let's discuss your project.

I am a Data Engineer with a strong focus on building scalable, efficient, and reliable data systems. I help businesses transform raw data into meaningful insights by designing robust data pipelines and optimizing data workflows. I specialize in transforming raw data into structured, high-quality datasets that support analytics, reporting, and business decision-making. With hands-on expertise in AWS and Azure ecosystems, I build efficient ETL/ELT workflows tailored to business needs. I focus on writing clean, optimized, and maintainable code while ensuring performance, scalability, and data integrity. 🔹 💼 𝗦𝗲𝗿𝘃𝗶𝗰𝗲𝘀 𝗜 𝗢𝗳𝗳𝗲𝗿 Design and development of ETL / ELT pipelines Building data warehouses and data lakes Data extraction from APIs, databases, and cloud sources Data cleaning, transformation, and preprocessing Workflow orchestration using Apache Airflow / AWS MWAA Cloud-based data solutions (AWS & Azure) Database design, migration, and performance optimization Real-time and batch data processing Debugging and improving existing data systems 🔹 🛠️𝗧𝗲𝗰𝗵𝗻𝗶𝗰𝗮𝗹 𝗦𝗸𝗶𝗹𝗹𝘀 𝗣𝗿𝗼𝗴𝗿𝗮𝗺𝗺𝗶𝗻𝗴 Python | SQL | C# | C++ 𝗔𝗪𝗦 𝗦𝗲𝗿𝘃𝗶𝗰𝗲𝘀 Lambda | Glue | Athena | S3 RDS | DynamoDB | Redshift QuickSight | MWAA 𝗔𝘇𝘂𝗿𝗲 𝗦𝗲𝗿𝘃𝗶𝗰𝗲𝘀 Data Factory | Databricks Azure SQL | Synapse Analytics 𝗗𝗮𝘁𝗮𝗯𝗮𝘀𝗲𝘀 SQL | MSSQL | MySQL | PostgreSQL | MariaDB Oracle | Odoo 𝗗𝗮𝘁𝗮 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿𝗶𝗻𝗴 𝗧𝗼𝗼𝗹𝘀 Apache Airflow | Apache Spark | Pandas 𝗣𝗿𝗼𝗷𝗲𝗰𝘁 & 𝗖𝗼𝗹𝗹𝗮𝗯𝗼𝗿𝗮𝘁𝗶𝗼𝗻 𝗧𝗼𝗼𝗹𝘀 Jira | Trello 🔹 💼𝗜𝗻𝗱𝘂𝘀𝘁𝗿𝘆 𝗘𝘅𝗽𝗲𝗿𝘁𝗶𝘀𝗲 Finance Healthcare E-commerce Retail 🔹 🎯 𝗪𝗵𝘆 𝗖𝗵𝗼𝗼𝘀𝗲 𝗠𝗲 Strong expertise in cloud-based data engineering (AWS & Azure) Scalable and high-performance data solutions Clean, well-documented, and maintainable code Reliable communication and timely delivery 🤝If you're looking for a reliable Data Engineer to build or improve your data pipelines, feel free to reach out. I’d be happy to discuss your project and find the best solution for your needs.

🏆 𝗧𝗢𝗣 𝗥𝗔𝗧𝗘𝗗 𝗣𝗟𝗨𝗦 – 𝗔𝗺𝗼𝗻𝗴 𝘁𝗵𝗲 𝗧𝗼𝗽 𝟯% 𝗗𝗮𝘁𝗮 𝗘𝘅𝗽𝗲𝗿𝘁𝘀 𝗼𝗻 𝗨𝗽𝘄𝗼𝗿𝗸. 🏆 Having successfully served 50+ clients on Upwork, I bring over 6 years of expertise in Data Analytics, Data Engineering & Web tracking. I build end-to-end data tracking & reporting pipelines for business of all sizes. What clients say about me: 📣 "𝙑𝙚𝙧𝙮 𝙧𝙚𝙨𝙥𝙤𝙣𝙨𝙞𝙫𝙚 𝙩𝙤 𝙦𝙪𝙚𝙨𝙩𝙞𝙤𝙣𝙨 𝙖𝙣𝙙 𝙥𝙧𝙤𝙫𝙞𝙙𝙚𝙨 𝙜𝙧𝙚𝙖𝙩 𝙙𝙖𝙩𝙖 𝙖𝙣𝙙 𝙫𝙞𝙨𝙪𝙖𝙡𝙞𝙨𝙖𝙩𝙞𝙤𝙣 𝙖𝙙𝙫𝙞𝙘𝙚. 𝘼𝙡𝙨𝙤 𝙖𝙗𝙡𝙚 𝙩𝙤 𝙝𝙖𝙣𝙙𝙡𝙚 𝙖𝙙𝙫𝙖𝙣𝙘𝙚𝙙 𝘽𝙞𝙜𝙌𝙪𝙚𝙧𝙮 𝙖𝙣𝙙 𝙇𝙤𝙤𝙠𝙚𝙧 𝙎𝙩𝙪𝙙𝙞𝙤 𝙬𝙤𝙧𝙠. 𝙀𝙭𝙘𝙚𝙡𝙡𝙚𝙣𝙩 𝙘𝙤𝙣𝙩𝙧𝙖𝙘𝙩𝙤𝙧!" MY SKILLS SNAPSHOT: 📈 𝗗𝗮𝘁𝗮 𝗔𝗻𝗮𝗹𝘆𝘁𝗶𝗰𝘀 & 𝗕𝘂𝘀𝗶𝗻𝗲𝘀𝘀 𝗜𝗻𝘁𝗲𝗹𝗹𝗶𝗴𝗲𝗻𝗰𝗲 | Finding critical business insights & building KPIs from raw data stored in databases or spreadsheets. Also, building automated reporting dashboards using any available Business Intelligence tool in the market. 🌎 𝗪𝗲𝗯 𝘁𝗿𝗮𝗰𝗸𝗶𝗻𝗴 | Setting up browser-side and server-side tracking to ensure have precise information on what actions users take on your website. 🛠️ 𝗘𝗧𝗟 𝘂𝘀𝗶𝗻𝗴 𝗔𝗣𝗜𝘀 & 𝗱𝗮𝘁𝗮 𝘄𝗮𝗿𝗲𝗵𝗼𝘂𝘀𝗶𝗻𝗴 | Expertise in building Python data pipelines to extract raw data from APIs of data sources like but not limited to Meta Ads, LinkedIn Ads, Google Ads, Bing Ads, Mailchimp, Shopify, Stripe, Google Analytics 4, Google Search Console, Klaviyo, ClickUp, Monday, etc. 📲 𝗠𝗼𝗯𝗶𝗹𝗲 𝗔𝗽𝗽 𝗔𝗻𝗮𝗹𝘆𝘁𝗶𝗰𝘀 | Analysing mobile app user’s behaviour and developing key mobile app metrics like DAU, MAU, ARPU, day-wise retention, Ads and IAP analyses, Aha moment analysis, etc. 🤖 𝗦𝗼𝗹𝘃𝗶𝗻𝗴 𝗯𝘂𝘀𝗶𝗻𝗲𝘀𝘀 𝗽𝗿𝗼𝗯𝗹𝗲𝗺𝘀 𝘂𝘀𝗶𝗻𝗴 𝗣𝘆𝘁𝗵𝗼𝗻 & 𝗢𝗽𝗲𝗻𝗔𝗜 | Building real-world business solutions using OpenAI and other large language models (LLMs). MY TECH EXPERTISE: • 𝗗𝗮𝘁𝗮 𝗩𝗶𝘀𝘂𝗮𝗹𝗶𝘀𝗮𝘁𝗶𝗼𝗻 & 𝗕𝗜 – Looker, Metabase, Zoho Analytics, Domo, Power BI, Tableau, Google Data Studio (formerly Looker Studio), Mode, Databox, Google Sheets, Excel, etc. • 𝗣𝗿𝗼𝗴𝗿𝗮𝗺𝗺𝗶𝗻𝗴 𝗹𝗮𝗻𝗴𝘂𝗮𝗴𝗲 𝗲𝘅𝗽𝗲𝗿𝘁𝗶𝘀𝗲 – SQL and Python. • 𝗦𝗤𝗟 𝗗𝗮𝘁𝗮𝗯𝗮𝘀𝗲𝘀 & 𝗱𝗮𝘁𝗮 𝘄𝗮𝗿𝗲𝗵𝗼𝘂𝘀𝗲𝘀 – Google BigQuery, AWS Redshift, AWS RDS, Snowflake, MySQL, MS SQL, PostgreSQL, Azure SQL, etc. • 𝗘𝗧𝗟 𝗧𝗼𝗼𝗹𝘀 – APIs, dbt, Dataform, Fivetran, Supermetrics, PowerMyAnalytics, Saras Analytics, Zapier, etc. • 𝗪𝗲𝗯 𝗧𝗿𝗮𝗰𝗸𝗶𝗻𝗴 – Google Tag Manager, Google Analytics 4, Mixpanel, etc. Feel free to drop a message if you need help with any of the services listed above and I'll be happy to collaborate! Looking forward to hear from you. Chitranshu Sharma

Data Engineer with 8+ years of experience designing scalable ETL pipelines, cloud data warehouses, and BI solutions using Power BI, Looker, Looker Studio and Tableau that turn raw data into reliable, decision-ready insights. I help businesses automate reporting, reduce manual work, and build high-performance analytics on GCP, Azure, and AWS. 𝐃𝐚𝐭𝐚 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫𝐢𝐧𝐠: • Expertise in building efficient ETL processes with Apache Airflow, Cloud Composer, and Dataform. • Skilled in GCP, Azure, and AWS, with expertise in key services like BigQuery, Cloud Functions, Synapse, and Redshift for optimized data warehousing • Proficient in data modeling and data transformation with DBT for clean, organized datasets. • Experienced with Docker for containerization and Google Cloud Run for scalable deployments. • Skilled in real-time data processing using Google Pub/Sub and data management with Data Lake. 𝐀𝐏𝐈 & 𝐃𝐚𝐭𝐚 𝐈𝐧𝐭𝐞𝐠𝐫𝐚𝐭𝐢𝐨𝐧: • Data extraction using Screaming Frog and DataforSEO. • CRM and marketing data integration with APIs like Apollo, HubSpot, and Facebook. • Search analytics expertise with GA4, Google Search Console, and SerpAPI. • Comprehensive API management for seamless, cross-platform data connectivity. 𝐃𝐚𝐭𝐚 𝐀𝐧𝐚𝐥𝐲𝐬𝐢𝐬: • Skilled in Power BI, Looker, and Tableau for creating clear, insightful dashboards. • Proficient in Python for data analysis, statistical modeling, and visualization. • Advanced SQL skills for efficient data querying and manipulation. • Experienced in data preparation and transformation, ensuring high-quality analytics. My strong communication and collaboration skills ensure smooth teamwork and project management. Flexible with working hours, I adapt to meet specific client needs and timelines.