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I’m in the start of a performance-focused data-migration effort that moves our current datasets into Snowflake, with Geneva and straight SQL powering the pipelines. To keep momentum, I need someone who can help on the hands-on analyst work while thinking like a Business Data Analyst. What I still have to finish centres on two areas: • Data extraction and transformation – mapping existing schemas, writing efficient SQL, and using Geneva/Snowflake utilities to cleanse and reshape data so downstream analytics run faster. • Data loading and validation – building repeatable load jobs into Snowflake, designing row-level and aggregate checks, and documenting reconciliation so stakeholders can trust the numbers. Acceptance criteria • Clean, reusable ETL scripts committed to our Git repo. • Loaded Snowflake tables that match source counts and sample query results within agreed thresholds. • A short run-book describing load steps, validation logic, and any performance observations. If you’re comfortable juggling Snowflake, Geneva, and solid SQL while keeping performance top of mind, let’s connect.
Project ID: 40362662
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Active 5 days ago
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7 freelancers are bidding on average ₹518 INR/hour for this job

Hello, I have read your project details carefully. I can complete this work accurately and on time. I have good typing speed and attention to detail. I am ready to start immediately. Please give me a chance to prove my work. Thank you.
₹575 INR in 40 days
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Hi, I can help you efficiently complete your Snowflake data migration with a strong focus on performance and accuracy. I have solid experience in SQL, ETL processes, and data transformation. I can assist in: - Mapping existing schemas and writing optimized SQL queries - Building clean, reusable ETL pipelines for Snowflake - Performing data validation with row-level and aggregate checks - Ensuring data accuracy and reconciliation for stakeholder trust - Documenting the full workflow with a clear runbook I focus on writing efficient, scalable solutions so your downstream analytics run faster and smoothly. I am comfortable working with Snowflake and handling end-to-end data loading, transformation, and validation tasks. I’m ready to start immediately and can maintain clear communication throughout the project. Looking forward to working with you. Thanks.
₹525 INR in 40 days
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Comfortable with SQL, Geneva and Snowflake - worked as data engineer with 3+ years, will help you to finish the areas, lets connect
₹400 INR in 45 days
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Hello, I’m a Data Scientist with strong hands-on experience in SQL, data engineering, and ETL workflows, and I’d be excited to support your Snowflake data migration effort. I have worked on data extraction, transformation, and validation tasks, including schema mapping, data cleaning, and building efficient SQL queries for analytics. I can help ensure your datasets are properly transformed and optimized for performance in Snowflake. For your project, I will: * Write clean, reusable SQL scripts for extraction and transformation * Map existing schemas and optimize data structures for Snowflake * Build reliable data loading workflows * Implement row-level and aggregate validation checks * Ensure reconciliation between source and target data * Document a clear run-book with load steps, validation logic, and performance insights I am comfortable working with Git-based workflows and writing well-structured, maintainable code. I also approach tasks with a business analyst mindset to ensure data accuracy and usability for stakeholders. I am detail-oriented, committed to performance optimization, and ready to start immediately. Best regards, Salma
₹575 INR in 40 days
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Hello, I have 4.7+ years of experience as an ETL Developer working on data migration, SQL-based transformations, and data validation projects in enterprise environments. I understand your requirement for performance-focused data migration into Snowflake and supporting analyst-level work. My approach will be: * Analyze existing schemas and map them to target structures * Write optimized SQL queries for efficient data extraction and transformation * Cleanse and reshape data to improve downstream performance * Build repeatable ETL/load processes * Implement row-level and aggregate validation checks to ensure data accuracy * Perform reconciliation between source and target datasets * Document the workflow, validation logic, and performance observations While my primary experience is with SQL and ETL tools, I am confident in quickly adapting to Snowflake and Geneva utilities. I focus on delivering accurate, optimized, and reusable data solutions. I am available to start immediately and can contribute consistently. Looking forward to working with you. Thanks, Vivek
₹575 INR in 25 days
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Hi, I can support your data migration effort by combining hands-on SQL work with a business-focused analytical approach. My approach would be: Analyze and map existing schemas to ensure accurate transformation Write efficient SQL for data extraction and cleansing Build structured, reusable ETL workflows for loading into Snowflake Implement validation checks (row-level and aggregate) to ensure data consistency Document the process clearly for reliability and future use I am comfortable working with SQL-based pipelines and data transformation, and I focus on writing clean, maintainable scripts with performance in mind. I can quickly get started and provide an initial progress update within a short time. Looking forward to collaborating with you.
₹575 INR in 40 days
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• Extensive experience working with multiple database systems including Microsoft SQL Server, Oracle, PostgreSQL, Redshift, and MongoDB. • Strong experience in designing scalable, secure, and reliable data solutions, including Data Engineering, Data Migration, and Data Modeling. • Good working knowledge of Azure Data Factory, Azure Data Lake, and Azure Databricks. • Familiarity with Microsoft Synapse Analytics, Microsoft Databricks, and Microsoft Fabric. • Expertise in SQL, Python, and Unix/Linux command-line environments. • Hands-on experience with cloud enablement, application migration, and data platform modernization initiatives. Worked in a project that the raw SAP data (67 tables in 6 domain) extraction through to the finance interface that business users will interact with day-to-day. The raw SAP data were ingested from SAP database, APIs, files to fabric. Medallion architecture was implemented with Bronze (raw or staged), silver (clean) and gold layers (aggregated data). Dashboards and KPIs were built to generate reports in Power BI connecting directly to One lake. Worked in another project for semi-con customer and contributed to on-demand data migration solutions for Semi-conductor domain (PTRFs and PTSRs). Hands-on experience with MS SQL Server, Azure Data Factory, Azure Databricks, Snowflake, Dataverse, and PostgreSQL in modernized environments. Medallion architecture was implemented for better data quality.
₹400 INR in 40 days
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