ETL Jobs

Job Title: Microsoft Dynamics 365 Lead Developer (CE,C1,sales modules) (voice support) Duration: 8 Hours Budget: ₹70K – ₹80K Start Date: Immediate Job Description We are looking for an experienced Microsoft Dynamics 365 Lead Developer with strong expertise in Dynamics 365 Customer Engagement (CE), Customer Insights (CI), and Sales modules. The candidate will be responsible for designing, implementing, and optimizing Dynamics 365 solutions while leading the production support team and managing integrations. Key Responsibilities Design, configure, and customize Dynamics 365 CE, CI, and Sales modules based on business requirements. Collaborate with stakeholders to analyze requirements and implement scalable solutions. Lead the development and production support team for Microsoft Dynami...

I need an expert who can tap into our Lawson environment and pull the financial-side payroll information we keep there. The end goal is a clear, well-structured Excel workbook—no other format will do—containing every payroll field we agree on (earnings, deductions, taxes, cost center coding, and any other columns you know are standard for Lawson’s payroll tables). Here is what matters to me: • Source: Lawson (on-premise LSF, version 10) • Scope: Financial data tied specifically to payroll—nothing HR-only or attendance-related. • Delivery: A single Excel file, cleanly formatted and ready for pivoting or upload into Power BI. You may use whatever extraction method you are most comfortable with—Lawson SQL queries, the Lawson API, or an ETL...

I’m kicking off a three-month, full-time engagement (with the option to extend) to move a sizeable customer data set from legacy sources into Salesforce while simultaneously wiring Salesforce into our wider application landscape through SnapLogic. The core objective is both migration and integration, so you’ll be hands-on across the entire data journey—from extracting millions of legacy records to building high-performance SnapLogic pipelines that keep Salesforce in sync with ERP, marketing, and other in-house systems. What the work looks like • Assess current data structures and map them cleanly to the Salesforce data model, respecting relationships, look-ups, and custom objects. • Build and optimise SnapLogic pipelines for bulk loads, transformations, and...

I need a clean, interactive dashboard that lets our management team see at a glance how well we are moving product from warehouse to customer. The focus is delivery progress, so the visuals must surface three core metrics: on-time deliveries, route efficiency, and customer satisfaction scores. Data sources are already available in our internal SQL database and a daily CSV export from our last-mile partner. I can supply sample tables and field definitions; you will handle the ETL so the numbers refresh automatically each morning. A browser-based tool such as Power BI Service, Tableau Online, or a lightweight React-D3 build is fine—whichever you are fastest with. Key expectations • Single-page overview with KPI cards, trend lines, and a map or heat-grid for route efficiency ...

I already have Zoho DataPrep up and connected to my Zoho One account. The legacy records are largely well-structured, yet they still carry old duplicates, stray values, and obsolete pick-lists that must be scrubbed before the switch to my redesigned Zoho CRM layout. The assignment centres on leveraging Zoho DataPrep’s recipes, rules, and AI suggestions to: • run a thorough data-cleaning and de-duplication pass, • apply field-level transformations and look-ups so every column lines up with the new CRM schema, • export ready-to-import CSV or Zoho Sheet files along with the reusable DataPrep workflow. I will give you secured access to the DataPrep workspace plus a copy of the target CRM field map. When we’re done I expect: 1. An import-ready dataset free of ...

I developed an interactive BMW Global Sales Analysis Dashboard using Microsoft Excel to analyze sales performance across different regions, models, and time periods. The goal of the project was to transform raw sales data into a clear and insightful dashboard that helps users quickly understand business performance and trends. In this project, I performed data cleaning and transformation, then used Pivot Tables, Pivot Charts, and slicers to create an interactive dashboard. The dashboard includes key metrics such as: *Total Units Sold *Total Revenue *Average Car Price *Total Models Sold It also provides deeper insights through visualizations like: *Monthly sales trend analysis *Sales comparison by region *Revenue distribution by car model *EV growth trend over multiple years *Fuel pri...

I’m looking for someone who has already moved Microsoft SSIS workloads into Google Cloud and can guide me through a clean, production-ready rebuild of our existing pipelines. Right now the jobs pull from a mix of relational databases and nightly flat-file drops; the goal is to land everything in BigQuery with the same—or better—performance, data quality, and monitoring we have today. Here’s what I need from you: • Assess the current SSIS packages, map out every source table and file feed, and document the equivalent flow on GCP. • Design and build the new pipelines using native services (Dataflow, Cloud Data Fusion, Cloud Composer, or any combination you feel is best) with full error handling, logging, and retry logic. • Automate scheduling and...

I’m preparing a migration from our Sapiens ID3 platform into the FAST Technology system and need a precise field-by-field mapping created. The source data centers on policy records, and I must be sure that every element tied to the customer—name and contact details, policy-specific attributes, and related transaction history—lands in the correct destination tables in FAST. Right now each field is stored in ID3’s proprietary format. I will supply sample extracts as well as the FAST data dictionary; your task is to analyse both structures, match every like-for-like field, and flag any gaps where a transformation or new target field is required. Deliverables • A comprehensive mapping document (spreadsheet or equivalent) showing source field, data type, descrip...

I need help turning my current Google Sheets-based shipment tracker into a reliable, visually driven decision-making tool. Right now the file has grown messy and error-prone; I want every data point checked at entry, seamlessly combined with feeds from other spreadsheets (and occasional Excel uploads), then surfaced through clean, interactive dashboards. Your work will focus on three enhancements: 1. Data accuracy & validation – build fool-proof rules, drop-downs, and conditional checks so bad data never sneaks in. 2. Data integration – set up queries or App Script that pull fresh information from multiple sheets or external CSV/XLSX files into a single, structured source of truth. 3. Automated reporting – generate dashboards in Google Sheets (or connected Loo...

I need to turn raw treasury-trading deal data into clear, decision-ready performance reports. The core of the job is to build a repeatable process that reads my daily deal files, analyses them, and produces a set of Performance Reports covering three key metrics: • Return on Investment • Trading Volume • Profit & Loss Statement . RATES AND MORE The source files arrive in CSV/Excel straight from our treasury platform. I am comfortable sharing a sample dataset so you can map the fields, clean anomalies, and transform the numbers. Ideally the workflow is automated—SQL or Python for the heavy lifting and Excel, Power BI or Tableau for the final dashboards and printable summaries—but I am open to whichever stack you can justify as robust and maintainable....

Title: Senior dMRV / Carbon Data Engineer (Verra + – Palm Oil / Biochar) Scope: We are an agentic + Web3 dMRV platform. We need a freelancer to assist prepare our data and calculations. Your tasks: Review historical data of POME SCADA exports. Map SCADA fields to Verra VCS POME/biogas methodology requirements and, at a high level, to biochar requirements. Build Python/SQL ETL scripts to clean and structure the data (handle gaps, outliers, units). Implement preliminary carbon calculations (CH₄ avoided / destroyed, EFB→biochar tCO₂e stored) using standard factors. Deliver a short technical memo (10–15 pages) describing data, assumptions, and methods that we can later refine with VVB. Must‑have experience: Hands‑on data work (Python + SQL) with time‑series / SCADA ...

The Workday technical consultant will design and implement scalable Workday data ingestion pipelines and provide recommendations on best practices for extracting and integrating Workday data across hyperscaler environments (Azure, AWS, or GCP). Integration Approaches Under Evaluation REST API SOAP API RaaS (Report as a Service) WQL (Workday Query Language) RaaS has been the traditional approach but is not preferred for future implementations. Key Requirements 5+ years of Workday technical experience (integrations, reporting, or data extraction). Proven experience implementing Workday data ingestion to cloud data platforms. Strong understanding of REST/SOAP APIs, RaaS, and WQL. Experience working with modern data platforms and ETL/ELT pipelines. Ability to recommend optimal ingestion strate...

Title Build Comprehensive Global Movie & TV Metadata Database for Recommendation Engine Project Overview I am building a personal recommendation engine that predicts my rating for movies and TV shows based on a large history of titles I have already rated. To support accurate predictions, I need a global media metadata database that contains rich structured information for movies and TV series. The dataset should combine multiple trusted sources and be designed for machine-learning comparison against my rating history. Scope of Work Build a master dataset containing global movie and TV metadata. This will serve as the candidate pool for prediction models. The database should include titles from: • IMDb official dataset • The Movie Database API • Optional enri...