Mahend V.

⚡ Your reports are slow, data is scattered, or pipelines keep breaking - I fix that. I’m a 𝗗𝗮𝘁𝗮 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿 with 𝟰+ 𝘆𝗲𝗮𝗿𝘀 𝗼𝗳 𝗵𝗮𝗻𝗱𝘀-𝗼𝗻 𝗲𝘅𝗽𝗲𝗿𝗶𝗲𝗻𝗰𝗲 building reliable data pipelines, cloud data platforms, warehouses, and dashboards across 𝗔𝗪𝗦, 𝗔𝘇𝘂𝗿𝗲, 𝗦𝗤𝗟, 𝗣𝘆𝘁𝗵𝗼𝗻, 𝗣𝘆𝗦𝗽𝗮𝗿𝗸, 𝗣𝗼𝘄𝗲𝗿 𝗕𝗜, 𝗟𝗼𝗼𝗸𝗲𝗿, 𝗮𝗻𝗱 𝗗𝗮𝘁𝗮𝗯𝗿𝗶𝗰𝗸𝘀. I help businesses move from messy, manual, and fragmented reporting to clean, automated, analytics-ready data systems. Whether you need 𝗘𝗧𝗟 𝗽𝗶𝗽𝗲𝗹𝗶𝗻𝗲𝘀, 𝗰𝗹𝗼𝘂𝗱 𝗱𝗮𝘁𝗮 𝘄𝗮𝗿𝗲𝗵𝗼𝘂𝘀𝗶𝗻𝗴, 𝗣𝗼𝘄𝗲𝗿 𝗕𝗜 𝗱𝗮𝘀𝗵𝗯𝗼𝗮𝗿𝗱𝘀, 𝗱𝗮𝘁𝗮 𝗺𝗼𝗱𝗲𝗹𝗶𝗻𝗴, or 𝗽𝗶𝗽𝗲𝗹𝗶𝗻𝗲 𝗺𝗼𝗻𝗶𝘁𝗼𝗿𝗶𝗻𝗴, I focus on making your data accurate, fast, and useful for decision-making. 𝗪𝗵𝗮𝘁 𝗜 𝗔𝗰𝘁𝘂𝗮𝗹𝗹𝘆 𝗗𝗲𝗹𝗶𝘃𝗲𝗿 🔹 𝗘𝗧𝗟 𝗮𝗻𝗱 𝗘𝗟𝗧 𝗣𝗶𝗽𝗲𝗹𝗶𝗻𝗲𝘀 – automated ingestion, transformation, validation, and scheduled data refresh using AWS Glue, Azure Data Factory, SSIS, Python, and PySpark 🔹 𝗖𝗹𝗼𝘂𝗱 𝗗𝗮𝘁𝗮 𝗪𝗮𝗿𝗲𝗵𝗼𝘂𝘀𝗶𝗻𝗴 – structured reporting layers using Snowflake, Azure Synapse, Azure SQL, SQL Server, PostgreSQL, and cloud storage 🔹 𝗣𝗼𝘄𝗲𝗿 𝗕𝗜 𝗮𝗻𝗱 𝗟𝗼𝗼𝗸𝗲𝗿 𝗗𝗮𝘀𝗵𝗯𝗼𝗮𝗿𝗱𝘀 – KPI dashboards, executive reports, filters, DAX, Power Query, and business-ready visualizations 🔹 𝗗𝗮𝘁𝗮 𝗠𝗼𝗱𝗲𝗹𝗶𝗻𝗴 – star schema, snowflake schema, fact and dimension tables, OLTP to OLAP design, and reporting-friendly models 🔹 𝗔𝗣𝗜 𝗗𝗮𝘁𝗮 𝗘𝘅𝘁𝗿𝗮𝗰𝘁𝗶𝗼𝗻 – REST API ingestion, third-party data sync, database migration, and automated data loading 🔹 𝗣𝗶𝗽𝗲𝗹𝗶𝗻𝗲 𝗥𝗲𝗹𝗶𝗮𝗯𝗶𝗹𝗶𝘁𝘆 – logging, monitoring, validation checks, failure alerts, CloudWatch, Azure Monitor, and documentation 🔹 𝗣𝗲𝗿𝗳𝗼𝗿𝗺𝗮𝗻𝗰𝗲 𝗢𝗽𝘁𝗶𝗺𝗶𝘇𝗮𝘁𝗶𝗼𝗻 – SQL tuning, indexing, stored procedures, functions, triggers, and query optimization for faster reporting 𝗣𝗿𝗼𝘃𝗲𝗻 𝗪𝗼𝗿𝗸 / 𝗞𝗲𝘆 𝗔𝗿𝗲𝗮𝘀 📊 𝗣𝗼𝘄𝗲𝗿 𝗕𝗜 𝗮𝗻𝗱 𝗖𝗥𝗠 𝗥𝗲𝗽𝗼𝗿𝘁𝗶𝗻𝗴 – built KPI dashboards, client reporting views, global filters, and business performance monitoring layers ⛽ 𝗥𝗲𝗮𝗹-𝗧𝗶𝗺𝗲 𝗙𝘂𝗲𝗹 𝗮𝗻𝗱 𝗦𝘁𝗼𝗰𝗸 𝗧𝗿𝗮𝗰𝗸𝗶𝗻𝗴 – supported data accuracy, stock visibility, and reporting workflows for operational decision-making ☁️ 𝗖𝗹𝗼𝘂𝗱 𝗗𝗮𝘁𝗮 𝗣𝗶𝗽𝗲𝗹𝗶𝗻𝗲𝘀 – designed ETL workflows across AWS and Azure using Glue, ADF, Lambda, S3, Azure SQL, and Synapse 📈 𝗟𝗼𝗼𝗸𝗲𝗿 𝗦𝘁𝘂𝗱𝗶𝗼 𝗮𝗻𝗱 𝗗𝗮𝘁𝗮 𝗩𝗶𝘀𝘂𝗮𝗹𝗶𝘇𝗮𝘁𝗶𝗼𝗻 – created reporting dashboards that help teams understand performance without manually preparing spreadsheets 🔄 𝗟𝗲𝗴𝗮𝗰𝘆 𝘁𝗼 𝗖𝗹𝗼𝘂𝗱 𝗠𝗶𝗴𝗿𝗮𝘁𝗶𝗼𝗻 – migrated and structured legacy datasets into modern cloud-ready reporting systems 𝗧𝗲𝗰𝗵 𝗦𝘁𝗮𝗰𝗸 / 𝗘𝘅𝗽𝗲𝗿𝘁𝗶𝘀𝗲 ⚙️ 𝗟𝗮𝗻𝗴𝘂𝗮𝗴𝗲𝘀: SQL, T-SQL, Python, PySpark ⚙️ 𝗘𝗧𝗟 / 𝗘𝗟𝗧: AWS Glue, Azure Data Factory, SSIS ⚙️ 𝗖𝗹𝗼𝘂𝗱: AWS S3, Glue, Lambda, EC2, RDS, CloudWatch, Azure ADF, Blob Storage, Azure SQL, Synapse, Azure VM, Azure Monitor ⚙️ 𝗗𝗮𝘁𝗮𝗯𝗮𝘀𝗲𝘀: SQL Server, PostgreSQL, MySQL, Azure SQL DB, Snowflake ⚙️ 𝗕𝗜 / 𝗥𝗲𝗽𝗼𝗿𝘁𝗶𝗻𝗴: Power BI, Power Query, Looker Studio, Excel, DAX ⚙️ 𝗕𝗶𝗴 𝗗𝗮𝘁𝗮: Databricks, Hive, Apache Hive ⚙️ 𝗗𝗮𝘁𝗮 𝗠𝗼𝗱𝗲𝗹𝗶𝗻𝗴: Star schema, snowflake schema, fact/dimension tables, OLAP, OLTP ⚙️ 𝗧𝗼𝗼𝗹𝘀: Git, GitHub, REST APIs, logging, monitoring, validation, documentation 𝗪𝗵𝗼 𝗜 𝗪𝗼𝗿𝗸 𝗕𝗲𝘀𝘁 𝗪𝗶𝘁𝗵 ✅ Teams whose reports are slow, manual, or unreliable ✅ Businesses needing ETL pipelines, data warehouses, or BI dashboards ✅ Companies moving from Excel/manual reporting to automated dashboards ✅ SaaS, operations, finance, sales, inventory, CRM, and analytics teams ✅ Clients who want clean documentation, reliable delivery, and maintainable data systems 𝗡𝗲𝘅𝘁 𝗦𝘁𝗲𝗽 📩 Invite me to your job - I can help you clean, connect, model, and visualize your data so your team can make faster decisions without depending on manual reporting.