Salman S.

Data work isn’t about dashboards first. It starts with how data is collected, transformed, and stored. I focus on building and maintaining that foundation so analytics and reporting work the way they should. I design and implement reliable data pipelines, enterprise data warehouses, and cloud-based analytics solutions, with over 4 years of hands-on experience across ETL tools, cloud platforms, and BI systems. I help teams integrate multiple data sources, automate workflows, and create analytics-ready datasets that are accurate, accessible, and scalable as your business grows. 🔹 𝑾𝒉𝒂𝒕 𝑰 𝑪𝒂𝒏 𝑯𝒆𝒍𝒑 𝒀𝒐𝒖 𝑾𝒊𝒕𝒉 ✔️Data Engineering & Data Architecture ✔️ETL / ELT Pipeline Development ✔️Cloud Data Warehousing (BigQuery, Redshift, SQL Server, MySQL, PostgreSQL, Snowflake) ✔️Data Integration & API Ingestion ✔️Big Data Processing (Spark, Kafka, Hadoop) ✔️BI Dashboards & Data Analytics ✔️Marketing & Analytics Data Pipelines (GA4, Google Ads, Facebook, HubSpot) ✔️Third-Party Tools (Fivetran, Stitch, Dataprep, Zapier, Make) 🔹𝑪𝒐𝒓𝒆 𝑬𝒙𝒑𝒆𝒓𝒕𝒊𝒔𝒆 𝐃𝐚𝐭𝐚 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫𝐢𝐧𝐠 & 𝐃𝐚𝐭𝐚 𝐖𝐚𝐫𝐞𝐡𝐨𝐮𝐬𝐢𝐧𝐠 ✔️Enterprise Data Warehouse (EDW) design ✔️Dimensional modeling (star & snowflake schemas) ✔️Performance tuning and query optimization 𝐄𝐓𝐋 / 𝐄𝐋𝐓 & 𝐃𝐚𝐭𝐚 𝐏𝐢𝐩𝐞𝐥𝐢𝐧𝐞𝐬 ✔️Batch and streaming data pipelines ✔️Workflow orchestration using Apache Airflow ✔️dbt-based transformations and testing ✔️Data quality checks and validation 𝐁𝐢𝐠 𝐃𝐚𝐭𝐚 & 𝐂𝐥𝐨𝐮𝐝 𝐏𝐥𝐚𝐭𝐟𝐨𝐫𝐦𝐬 ✔️Scalable data processing with Spark and Kafka ✔️Cloud-native pipelines on AWS, GCP, and Azure ✔️Cost-optimized, high-availability data systems 𝐃𝐚𝐭𝐚 𝐀𝐧𝐚𝐥𝐲𝐭𝐢𝐜𝐬 & 𝐕𝐢𝐬𝐮𝐚𝐥𝐢𝐳𝐚𝐭𝐢𝐨𝐧 ✔️Interactive dashboards and reports ✔️KPI tracking and executive analytics ✔️Business-friendly data models ✔️Advanced analysis (Churn, Lifetime Value, ROAS, Cost Per Acquisition, Cohort Analysis) 🔹𝑻𝒆𝒄𝒉𝒏𝒊𝒄𝒂𝒍 𝑺𝒌𝒊𝒍𝒍𝒔 𝐃𝐚𝐭𝐚𝐛𝐚𝐬𝐞𝐬 & 𝐃𝐚𝐭𝐚 𝐖𝐚𝐫𝐞𝐡𝐨𝐮𝐬𝐞𝐬 PostgreSQL, MySQL, BigQuery, Amazon Redshift, Snowflake, Neo4j, SQL Server 𝐄𝐓𝐋 & 𝐃𝐚𝐭𝐚 𝐈𝐧𝐭𝐞𝐠𝐫𝐚𝐭𝐢𝐨𝐧 𝐓𝐨𝐨𝐥𝐬 Apache Airflow, dbt (Data Build Tool), Kafka, Spark, AWS Glue, Azure Data Factory, Google Cloud Dataflow, Stitch, Fivetran, Dataprep, Make, Zapier, Talend Open Studio, IBM InfoSphere DataStage, Pentaho 𝐁𝐈 & 𝐑𝐞𝐩𝐨𝐫𝐭𝐢𝐧𝐠 𝐓𝐨𝐨𝐥𝐬 Tableau, Power BI, Looker Studio (Data Studio), Looker, Amazon QuickSight, Plotly, MS Office 𝐏𝐫𝐨𝐠𝐫𝐚𝐦𝐦𝐢𝐧𝐠 𝐋𝐚𝐧𝐠𝐮𝐚𝐠𝐞𝐬 SQL, Python, JavaScript 𝐂𝐥𝐨𝐮𝐝 & 𝐀𝐏𝐈 𝐈𝐧𝐭𝐞𝐠𝐫𝐚𝐭𝐢𝐨𝐧𝐬 𝗖𝗹𝗼𝘂𝗱 𝗣𝗹𝗮𝘁𝗳𝗼𝗿𝗺𝘀: AWS, GCP, Azure 𝗔𝗣𝗜𝘀 & 𝗗𝗮𝘁𝗮 𝗦𝗼𝘂𝗿𝗰𝗲𝘀: Google Ads, Criteo Ads, HubSpot, Meta, Apollo, Zoho CRM, Shopify, LinkedIn, Recharge, Klaviyo, GA4, Google Search Console, Screaming Frog, AWR 🔹𝑾𝒉𝒚 𝑪𝒍𝒊𝒆𝒏𝒕𝒔 𝑾𝒐𝒓𝒌 𝑾𝒊𝒕𝒉 𝑴𝒆 ✔️Strong understanding of both business needs and data engineering ✔️Clean, scalable, and well-documented solutions ✔️Cloud-first, performance-optimized architectures ✔️Clear communication and reliable delivery ✔️Long-term mindset for maintainable data systems 🔹𝑰𝒅𝒆𝒂𝒍 𝑷𝒓𝒐𝒋𝒆𝒄𝒕𝒔 ✔️Data warehouse design and migration ✔️ETL / ELT pipeline development ✔️Cloud data platform setup (AWS, GCP, Azure) ✔️BI dashboards and analytics reporting ✔️Marketing, product, and SaaS data integration 🔹𝑳𝒆𝒕’𝒔 𝑾𝒐𝒓𝒌 𝑻𝒐𝒈𝒆𝒕𝒉𝒆𝒓 If you’re looking for a Data Engineer who can build, optimize, and scale your data pipelines while enabling powerful analytics, let’s discuss your project. 📩 𝑴𝒆𝒔𝒔𝒂𝒈𝒆 𝒎𝒆 𝒕𝒐 𝒈𝒆𝒕 𝒔𝒕𝒂𝒓𝒕𝒆𝒅