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Our market-facing analytics are reporting conflicting numbers and I need a sharp data specialist to hunt down and eliminate the discrepancies. The problems sit squarely in the data analytics layer: customer records don’t balance with financial reports, operational KPIs drift between refreshes, and leadership is losing confidence in the dashboards. I have already confirmed that accuracy issues are present in all three source domains—customer, financial, and operational—so the task is to trace the pipelines end-to-end, pinpoint root causes, and deliver a rock-solid single source of truth. Here’s what I expect from you: • Audit current ETL jobs, warehouse schemas and any ad-hoc queries touching those datasets. • Fix or rebuild faulty transformations, ...

We are seeking an experienced Data Engineer to build and maintain scalable, high-performance data pipelines and infrastructure for our next-generation data platform. The platform ingests and processes real-time and historical data from diverse industrial sources such as airport systems, sensors, cameras, and APIs. You will work closely with AI/ML engineers, data scientists, and DevOps to enable reliable analytics, forecasting, and anomaly detection use cases. Shape Major Skills : Spark, Flink, Iceberg Key Responsibilities · Design and implement real-time (Kafka, Spark/Flink) and batch (Airflow, Spark) pipelines for high-throughput data ingestion, processing, and transformation. · Develop data models and manage data lakes and warehouses (D...

Results-driven Senior Data Analyst with 8+ years delivering enterprise data solutions across Banking, Financial Services, and Healthcare. Specialized in end-to-end Data Warehouse design, ETL pipeline development, and BI reporting. Core Expertise: Snowflake, Azure Data Factory, Azure Synapse, Delta Lake, PySpark, SSIS, T-SQL, PL/SQL, Oracle, MySQL, Power BI, DAX, Tableau, SSRS, Star/Snowflake Schema, EDW Design, Data Mart Development, Data Lineage, Gap Analysis. Compliance & Governance: HIPAA, GDPR, SOX Audit Controls, Data Quality Frameworks, Data Governance Policies. Business Analysis: BRD/FRD Writing, JAD Facilitation, UML Diagrams, Stakeholder Management, Agile, Waterfall. Certifications: Microsoft Azure Fundamentals, Salesforce Administrator, Salesforce Platform Developer I. Analyt...

I need my current MicroStrategy ONE environment (version 19.4) lifted to the most recent release, with the clear objective of gaining noticeably improved performance across the platform. Once the environment is running on the latest build, five medium-complexity dashboards focused on customer data must be designed and published. Upgrade scope • Review and document the 19.4 configuration, repositories, and security model. • Execute the server, metadata, and Workstation upgrades, validating each step until all services run on the newest version. • Re-point existing connections and certify that report execution times meet or exceed previous benchmarks. Dashboard scope Each dashboard will present customer data using the full range of visualization styles we rely on&mda...

Flux Hub is an operational data ecosystem for mid-market companies (€2M–€50M revenue). We are building a rapid-response freelance pool for ongoing client projects. We need freelancers in these roles: Role What you will do BI / Looker Studio Developer Build dashboards, ETL pipelines, data blending Data Analyst (SQL + Python) Data cleaning, transformation, exploratory analysis No-code Specialist (Make / n8n) API integrations, workflow automation ML Engineer (light models) Time series forecasting, predictive maintenance Requirements: Proven portfolio (attach links or files) Response time under 12 hours Fluent English (technical documentation level) Ability to sign NDA What we offer: Regular project flow (starting 1–2 projects per month) Fast payment (within 5 da...

I’m building a data-driven application that delivers complete game-level and player-level analytics for four sports: Football, Cricket, Formula One, and Tennis. The goal is to merge historical and live feeds into a unified warehouse, run advanced modelling on top of it, and expose the results through interactive dashboards and an API other products can tap into. Scope of work • Set up or connect to reliable data sources, normalise them, and design an extensible schema that copes with multiple sports and rule sets. • Develop the ETL pipeline (Python, SQL, Spark or a comparable stack) to ingest, clean, and enrich the data in near-real-time. • Build an analytics layer capable of producing player performance metrics, match summaries, and cross-sport comparisons. Pre...