Hire the Best DataGravity Specialists

Data Engineer & Technical Writer for data, AI, and SaaS teams. I build Python/SQL pipelines with Azure, Snowflake, and dbt, and write technical articles, tutorials, and documentation that make complex products easier to understand. I bring 5+ years of data engineering experience, including work at Danone and Zurich. My technical writing experience includes articles for Qualytics and WisdomAI, alongside documentation for data pipelines, reporting systems, and business metrics. For data engineering projects, I can help with: • ETL/ELT pipelines connecting APIs, files, and databases, including incremental loads and scheduled processing. • Snowflake and BigQuery data warehouses, dbt transformations, and reporting models. • Data ingestion and transformation using Azure Data Factory, Databricks, and Microsoft Fabric. • SQL optimization, data quality checks, and consistent KPI definitions for Power BI. I worked on commercial analytics pipelines using Azure Data Factory, ADLS, Snowflake, and dbt to improve reporting freshness and standardize KPI logic. For technical writing projects, I can help with: • Technical articles and blog posts covering data engineering, analytics, AI, and SaaS. • Tutorials, how-to articles, and implementation guides. • Product and API documentation, user guides, and knowledge base articles. • Architecture documentation, data dictionaries, pipeline guides, and operational runbooks. My engineering background helps me understand the systems I write about and explain technical decisions to engineers, stakeholders, and customers. I work with detailed briefs and editorial guidelines, adapting the language and depth to the intended audience. You can expect clear milestones, regular updates, and deliverables reviewed against the agreed requirements. Available for individual projects and ongoing part-time support. Send me your project requirements or content brief, the outcome you need, and your timeline.

I'm a Senior Data Engineer with 4.5+ years of experience building scalable, cloud-native data platforms that turn raw data into reliable, business-ready insights. I've delivered enterprise solutions across banking (NAB), healthcare (Molina), and CPG (PepsiCo), specializing in end-to-end pipeline architecture, data modeling, and cloud migrations. What I bring to your project: 🔹 Cloud Data Engineering – Deep expertise in Azure (Databricks, Data Factory, Synapse) and AWS (EMR, Glue, S3, RedShift), with hands-on migration experience from on-prem and Teradata to cloud. 🔹 Pipeline Architecture & ETL – I design and build robust ingestion frameworks handling batch, incremental, and real-time data (Event Hub, Kafka) across formats like JSON, CSV, Parquet, and fixed-width files. 🔹 Data Modeling & Warehousing – Skilled in dimensional modeling, Data Vault, star/snowflake schemas, and silver/gold layer design. I've modeled 50+ tables across Oracle Fusion, SAP S/4, and healthcare domains. 🔹 Transformation & Orchestration – I translate complex business rules into DBT models, orchestrate workflows with Apache Airflow or AutoSys, and automate CI/CD via Jenkins and Azure DevOps. 🔹 Performance & Governance – I tune PostgreSQL and Spark jobs, implement data quality checks, reconciliation frameworks, and ensure compliance with data governance standards. 🔹 Generative AI & MLOps – Databricks-certified in Generative AI, with experience integrating MLflow for experiment tracking and building LLM-based automation using OpenAI and LangChain. Tech Stack: Python | SQL | Scala | Apache Spark | DBT | PostgreSQL | Snowflake | Airflow | Databricks | Azure | AWS | Git | Jenkins | MLflow | Power BI Certifications: Databricks Certified Data Engineer Professional | Azure Data Engineer (DP-203) | Snowflake SnowPro Core | Fabric Analytics Engineer (DP-600) | Generative AI Engineer Associate Whether you need a production-grade pipeline, a cloud migration, or a well-modeled data warehouse, I deliver clean, documented, and scalable solutions — on time and with clear communication. Let's discuss your project!

Azure Data Engineer and Databricks consultant helping businesses turn fragmented, slow, or unreliable data into production-ready ETL pipelines, data warehouses, and Power BI dashboards. If your team is losing time to failed loads, manual file processing, or reports nobody trusts, I design and build Azure data solutions that are scalable, maintainable, and aligned with how your business actually works. Core stack: Azure Databricks, Azure Data Factory, PySpark, Apache Spark, Delta Lake, Microsoft Fabric, Azure Synapse Analytics, Azure Data Lake Storage, SQL, Python, and Power BI (DAX, Power Query). I cover the full data lifecycle: ingestion, transformation, data modeling, orchestration, data quality, monitoring, and documentation, through to analytics-ready datasets and KPI dashboards. DATA ENGINEERING SERVICES * End-to-end ETL and ELT pipelines on Microsoft Azure * Databricks lakehouse and medallion architecture (Bronze, Silver, Gold layers) * Ingestion from APIs, databases, CSV, JSON, Parquet, Excel, and cloud storage * Batch, incremental, and streaming pipelines using watermarks, CDC, Auto Loader, and Delta MERGE * Handling of late-arriving records, corrections, duplicates, and schema changes * Dimensional data modeling: fact tables, dimensions, star schemas, reporting datasets * Data quality rules, reconciliation checks, audit logs, and alerting * Optimization of Spark jobs, Delta tables, SQL queries, and cloud costs * Data migration from legacy ETL tools and on-premises platforms to Azure * Data governance with Unity Catalog: access control, lineage, and cataloging * Architecture, data flow, deployment, and support documentation POWER BI AND BUSINESS INTELLIGENCE * Governed semantic models and datasets built for self-service analytics * KPI dashboards and reports for finance, operations, sales, and management * DAX measures, Power Query transformations, and report performance tuning * Microsoft Fabric lakehouses connected directly to Power BI LAKEHOUSE ENGINEERING I design lakehouse platforms that separate raw ingestion from validated and business-ready data. Bronze preserves source data and ingestion metadata for traceability. Silver standardizes types, validates records, resolves duplicates, and builds reusable entities. Gold delivers business models and aggregates for reporting and analytics. The incremental strategy is chosen per source rather than forced into one pattern: timestamps, high-water marks, change data capture, Auto Loader, structured streaming, or Delta MERGE with controlled lookback windows. The goal is to process only relevant data while still capturing late arrivals and source corrections accurately. RELIABILITY AND DATA QUALITY A pipeline is only valuable when people trust its output. I build validation into the workflow instead of treating quality as a final manual step: schema conformity, required fields, uniqueness, referential integrity, row counts, control totals, freshness, and reconciliation with the source. Pipelines are idempotent, observable, and recoverable. Failed runs are easy to diagnose and safe to restart without duplicating data, supported by audit columns, batch identifiers, structured logging, quarantine tables, and alerts. WHAT YOU RECEIVE * A solution designed around your sources, SLAs, users, and reporting needs * Clean, maintainable code with parameters and environment-aware configuration * Data quality controls and transparent exception handling * Optimized Delta tables and analytics-ready data models * Orchestration with dependencies, retry logic, and monitoring * Practical documentation and handover guidance * Clear communication on progress, risks, assumptions, and decisions HOW I WORK I start with the business outcome: source systems, data volume, update frequency, history requirements, security constraints, and downstream consumers. This prevents a technically working pipeline from producing data that does not answer the real business question. I then break the work into visible milestones, confirm the architecture, and deliver in testable stages. I flag blockers early, explain tradeoffs in plain language, and keep the design proportionate to the project. You get a system your team can understand and keep operating, not an undocumented collection of notebooks. Need an Azure Data Engineer or Databricks consultant focused on reliability and business value? Share your data sources, desired output, approximate volume, refresh frequency, and main challenges, and I will help define the right first milestone.

🔹 𝐓𝐨𝐩 𝐑𝐚𝐭𝐞𝐝 - 𝗧𝗼𝗽 𝟭𝟎% 𝗧𝗮𝗹𝗲𝗻𝘁 𝗼𝗻 𝗨𝗽𝘄𝗼𝗿𝗸 💯 𝟏𝟎𝟎% 𝐉𝐨𝐛 𝐒𝐮𝐜𝐜𝐞𝐬𝐬 𝐑𝐚𝐭𝐞 ⭐ 𝐀𝐥𝐥 𝟓-𝐒𝐭𝐚𝐫 𝐅𝐞𝐞𝐝𝐛𝐚𝐜𝐤 ⏳ 𝟔+ 𝐘𝐞𝐚𝐫𝐬 𝐨𝐟 𝐄𝐱𝐩𝐞𝐫𝐢𝐞𝐧𝐜𝐞 🚀 𝐀𝐯𝐚𝐢𝐥𝐚𝐛𝐥𝐞 𝐢𝐦𝐦𝐞𝐝𝐢𝐚𝐭𝐞𝐥𝐲 𝐭𝐨 𝐤𝐢𝐜𝐤𝐬𝐭𝐚𝐫𝐭 𝐲𝐨𝐮𝐫 𝐩𝐫𝐨𝐣𝐞𝐜𝐭 𝐚𝐧𝐝 𝐝𝐞𝐥𝐢𝐯𝐞𝐫 𝐫𝐞𝐬𝐮𝐥𝐭𝐬 Hi, I am a highly skilled Data Analyst specializing in Data Analytics & Business Intelligence, with expertise in Power BI, Python, Azure, SQL, and Web Scraping to deliver impactful, data-driven solutions. Over the course of my career, I have successfully completed 50+ projects for startups, enterprises and global companies, leveraging Power BI dashboards, Python automation, Azure cloud integration, SQL database management, and advanced Scraping techniques. My expertise as a Data Analyst and BI Specialist allows me to transform raw data into actionable insights using Power BI visualizations, Python data processing, Azure services, SQL queries, and large-scale web scraping pipelines. Having collaborated with enterprises, startups, and multinational corporations, I ensure precise, timely, and business-focused results. Whether it’s Power BI reporting, Python data manipulation, Azure architecture, SQL optimization, or Scraping from complex sources, I deliver end-to-end solutions that drive growth. 🤝Let’s connect and discuss how my Data Analyst, Power BI, Python, Azure, SQL, and Scraping expertise can elevate your next project. 🧩 MY SERVICES • Interactive Power BI Dashboard Design & Development • Automated Python Data Cleaning & Analysis Pipelines • Azure Data Factory, ADX, Blob Storage, Stream & Synapse Analytics Setup • Complex SQL Query Optimization & Database Management • Large-Scale Web Scraping & Data Extraction Solutions 💻 TECHNICAL EXPERTISE • BI Tools: Power BI, Tableau, Grafana, Qlik Sense, Looker Studio • Programming: Python, R, Azure Cloud, APIs • Databases: SQL Server, MySQL, PostgreSQL, Azure SQL, MongoDB 🌍 INDUSTRIES SERVED • Finance • Healthcare • E-commerce • Retail • SaaS • Manufacturing • Real Estate • Logistics • Marketing • Education 🚀 If you’re looking for a results-driven Data Analyst with proven skills in Power BI, Python, Azure, SQL, and Scraping to deliver actionable insights and high-quality data solutions, let’s get started today!