🚀 Need help building scalable ETL pipelines, migrating data to BigQuery, or automating cloud workflows? As a Senior Data Engineer with 5+ years of experience, I help businesses collect, transform, and optimize data using modern cloud technologies and automation platforms. Whether you're struggling with fragmented data, manual reporting, unreliable pipelines, or slow analytics, I can help you build scalable solutions that turn raw data into actionable insights. 🔧 What I Can Help You With ✅ ETL / ELT Pipelines – Design, develop, and automate scalable data pipelines using Python, Apache Airflow, and cloud-native services ✅ Data Migration – Migrate data from MySQL, PostgreSQL, APIs, spreadsheets, and legacy systems into BigQuery, Snowflake, and cloud data warehouses ✅ API Data Integration – Extract, transform, and load data from REST APIs and third-party platforms into centralized analytics environments ✅ Data Warehousing & Modeling – Build modern data warehouses, Star Schemas, dimensional models, and implement SCD Type 2 for historical tracking ✅ Cloud Data Platforms – Design and implement data solutions on GCP, AWS, and Azure ✅ Workflow Orchestration – Automate and manage data workflows using Apache Airflow, Cloud Functions, CRON jobs, and cloud-native services ✅ AI Workflows & n8n Automation – Build intelligent automation workflows connecting AI services, databases, APIs, CRMs, and Google Workspace ✅ Batch & Stream Processing – Develop high-performance data pipelines using PySpark and Kafka for large-scale processing ✅ Business Process Automation – Eliminate repetitive tasks and streamline operations using n8n automation workflows ✅ Looker & Analytics – Build interactive dashboards, semantic models, and business intelligence solutions using Looker and LookML 📈 Recent Solutions Delivered ✔ Built automated ETL pipelines integrating data from multiple APIs and databases into cloud data warehouses ✔ Designed scalable BigQuery-based analytics platforms for reporting and business intelligence ✔ Developed Looker dashboards and data models for executive and operational reporting ✔ Automated business workflows and integrations using n8n, APIs, and cloud services ✔ Migrated legacy reporting processes to modern cloud-based analytics solutions ✔ Implemented data warehouse architectures supporting reliable and scalable reporting 🛠️ Tech Stack Data Engineering: Python • SQL • BigQuery • Snowflake • Apache Airflow • PySpark • Kafka • Data Warehousing • Data Modeling Cloud Platforms: Google Cloud Platform (GCP) • AWS • Azure Business Intelligence: Looker • LookML • Dashboard Development • Reporting & Analytics Automation & Integration: n8n • REST APIs • Webhooks • AI Automation • Google Workspace Integrations Databases: MySQL • PostgreSQL • MongoDB 💼 Why Clients Work With Me 🔹 Clean, scalable, production-ready solutions 🔹 Strong communication and transparent project updates 🔹 Business-focused approach with measurable outcomes 🔹 Reliable delivery and long-term support 🔹 Well-documented solutions for easy maintenance and handoff 🔹 Free consultation to discuss project requirements and architecture 📩 Let’s Discuss Your Project Whether you need a BigQuery data warehouse, Apache Airflow ETL pipeline, Looker analytics solution, or n8n automation workflow, I can help you design and implement a reliable, scalable solution tailored to your business needs. Send me a message today, and let's turn your data into a competitive advantage.

HIGHLIGHTS Highly driven Data Analyst with 3+ years of experience developing data analysis tools using Python and Power BI. Adept at creating insightful reports and interactive dashboards. Proficient in SQL and data modeling, with proven record of transforming raw data into actionable business insights. Collaborative team player eager to learn new technologies and deliver impactful results.

Your data isn't the problem what's broken is the pipeline between raw inputs and decisions that actually get made. I build the infrastructure that fixes that. I'm a data engineer based in London specialising in end-to-end pipeline development, cloud data architecture, and analytics-ready data delivery. My work sits at the intersection of solid engineering and practical business outcomes: clean ingestion, validated transforms, and self-serve dashboards that non-technical stakeholders can actually use without raising a support ticket. At ProudToBeMe, I designed and deployed production pipelines in Python and SQL across 3+ source systems, built automated data quality frameworks that cut quality incidents by 40%, and developed Power BI dashboards tied to £100k+ in programme activity all built for reliability, not just demo day. At HighRadius Technologies, I improved ETL processing time by 25% across a 12-month client engagement and designed a Databricks Lakehouse architecture with ACID compliance across financial records work that earned me a Stakeholder Impact Award. On the certification side: Databricks Certified Associate Data Engineer and Microsoft Fabric Data Engineer Associate (DP-700). Tech stack: Python · SQL · PySpark · Databricks · Azure · AWS · dbt · Airflow · Delta Lake · Snowflake · BigQuery · Power BI · Tableau · CI/CD · Git. I work best with clients who have real operational data problems inconsistent ingestion, fragile pipelines, dashboards that nobody trusts — and need an engineer who can go from requirement to production without hand-holding. I write documentation, build for maintainability, and communicate clearly with non-technical stakeholders throughout. If you're looking for reliable, production-grade data engineering not just a script that runs once let's talk. Send me a message and I'll respond within 24 hours.

Microsoft Fabric Architect | Power BI Architect | Enterprise BI & Data Engineering | Azure Databricks | Azure SQL | Azure Synapse | Azure Analysis Service | SSIS | SSAS | SSRS | Tableau | Pyspark I help finance and operations teams build scalable, high-performance Power BI solutions that leadership can trust for decision-making. With 14+ years of experience as a Microsoft-certified MS Fabric , Power BI and Data Engineering expert, I’ve delivered enterprise BI platforms for global clients, including EY and PwC. My work focuses on strong data models, performance optimization, and governed analytics, not just dashboards. I can help with: MS Fabric Architecture & Implementation Power BI Architecture & Implementation Performance optimization & DAX/model redesign Finance reporting (Budget vs Actuals, Forecasting, What-If) Azure-based data engineering & BI modernization Legacy BI → Power BI migration Business Object to Power BI Migration If you need a senior Power BI architect who thinks beyond visuals and builds analytics that scale, let’s connect. Lokesh ND

-Business intelligence Developer and Data analytics consultant with over 6 years of experience. -End to end BI project management (understanding requirements from stakeholders, setting of up of data models, reports and dashboards creation) -Power BI/DAX Developer for over 6 years -Led the development and enforcement of business predictive analytics initiatives to showcase Power BI as data modelling, analysis and visualization tool. -Clients include Wolters Kluwer, Andela, Ecobank, educational institutes, manufacturing company, consulting firms, etc. I would love to chat about your Power BI projects, ETL, and data Engineering challenge and help you bring meaningful insights from your data.

With 10+ years of experience, I help businesses turn raw data into real-time insights and intelligent decisions using modern data engineering, analytics, visualization, and machine learning. From cloud-native pipelines to executive dashboards and predictive models, I build scalable systems that power growth. My approach combines engineering precision, analytics depth, ML expertise, and business-focused storytelling to ensure your data works as a strategic asset, not just a byproduct. Whether you're a startup building your first data product or an enterprise modernizing legacy systems, I design, build, and deliver data systems that are fast, secure, and future-ready. Services I Offer ✅ Data Engineering: ETL/ELT pipelines, data lakes, and warehouse architecture ✅ Data Analytics & BI: KPI dashboards, reporting systems, and performance tracking ✅ Data Visualization: Power BI, Tableau, Looker dashboards with business storytelling ✅ Cloud Data Solutions: AWS, GCP, Azure-based scalable data systems ✅ Real-Time Data Processing: Kafka, Spark, streaming pipelines ✅ AI & ML Integration: Predictive models, forecasting, and analytics-driven automation 🌟 My Expertise Includes ✅ Data Engineering & Infrastructure ➡️ ETL/ELT pipelines: dbt, Apache Airflow, Python ➡️ Cloud platforms: AWS (Glue, S3, Redshift, Lambda), GCP (BigQuery, Dataflow), Azure (ADF, Synapse) ➡️ Data warehousing: Snowflake, Redshift, BigQuery, dimensional modeling ➡️ Real-time & batch processing: Apache Kafka, Spark, Flink, Lambda ➡️ Data lakes & architecture: S3, Lake Formation, Delta Lake ➡️ Data quality & validation: Great Expectations, dbt testing, data observability tools ➡️ CI/CD for data pipelines: Git, Terraform, Docker, Kubernetes, cloud-native deployments ➡️ Security & compliance: RBAC, audit trails, GDPR/HIPAA-ready pipelines ✅ BI & Analytics ➡️ KPI dashboards, automated reporting, and self-service BI layers ➡️ SQL-based analysis, performance monitoring, and data modeling ➡️ Embedded analytics: Power BI Embedded, Tableau Embedded, Looker Embed SDK, QuickSight APIs ➡️ Row-level security: Power BI (DAX roles), Tableau (user filters), Snowflake, BigQuery, PostgreSQL ✅ Data Visualization & Storytelling ➡️ Power BI, Tableau, Google Looker Studio, AWS QuickSight, Domo, Sisense ➡️ Custom dashboards: Python (Plotly, Dash, Streamlit), JavaScript (D3.js, Chart.js) ➡️ Real-time visualization: Kafka, Grafana for IoT and monitoring use cases ➡️ Executive dashboards, role-based insights, drill-downs, interactive filters, mobile optimization ✅ AI & Machine Learning ➡️ Predictive modeling: classification, regression, clustering ➡️ ML pipelines for churn prediction, forecasting, and personalization ➡️ Python (Pandas, Scikit-learn, XGBoost), Jupyter, MLflow ➡️ Deployment-ready ML: CI/CD, APIs, cloud integration ✅ Databases & Storage ➡️ Relational: PostgreSQL, MySQL, MSSQL ➡️ Cloud warehouses: Snowflake, BigQuery, Redshift ➡️ NoSQL: Cassandra, Elasticsearch ➡️ Workflow orchestration: Apache Airflow, Apache NiFi, Databricks 🚀 Why Choose Me? ✔ 10+ years of proven expertise across data engineering, BI, visualization, and AI/ML ✔ I simplify complex data systems into usable, scalable products ✔ I speak both business and technical fluently, with clarity in every deliverable ✔ Secure, future-ready solutions with transparent communication and reliable delivery Whether you're a startup building your first data product or an enterprise modernizing legacy systems - I'll help you design, build, and deliver data systems that scale. 💬 Let's transform your data into your competitive edge.

Want data clarity that drives real growth, not just more dashboards? I transform complex data into strategic actions & predictive insights for FMCG, IGaming & Commercial Real Estate using cutting-edge platforms like Microsoft Fabric. 💡 Claim your FREE 30-min data strategy call! We’ll pinpoint your analytics bottlenecks and how to fix them. ⚠️ Limited client slots for focused, high-impact partnerships. About Me & Proof: Data Analyst & Engineer unlocking growth through clear insights and predictive modeling for FMCG, IGaming & Commercial Real Estate. 4+ years experience turning complex data into actionable strategies. 100% success rate leading cross-functional data initiatives. Skilled in SQL (SSMS, PostgreSQL, BigQuery), BI (Looker Studio, Power BI), GA4, Microsoft Fabric (end-to-end), and building ML models. I Solve These Pains: Slow, confusing reports hindering decisions? Teams stuck in spreadsheets, wasting time? Data silos preventing a clear business view? Unclear KPIs or campaign performance? Need predictive insights or future trends? Legacy systems holding back scalability? Here’s What I Deliver: Modern Data Platforms: Build scalable Microsoft Fabric solutions (Data Factory, Warehouse, Lakehouse, OneLake, Real-time Intelligence). Predictive Insights: Develop & deploy ML models to forecast trends, optimize operations, and reduce risk. Clear Dashboards: Replace confusion with intuitive, decision-driving visuals (Power BI, Looker Studio, Fabric). Streamlined Reporting: Automate reports for speed and accuracy (SSRS, BigQuery, Sheets, Fabric). FMCG/iGaming/Real Estate Insights: Domain-specific analytics & ML for your unique market challenges. Data Pipeline & Warehousing: Efficient ETL/ELT, integration, and management (Fabric, SSIS, SQL, dbt). Proven Results (Examples): Orchestrated cross-functional data initiatives with 100% success rate. Consistently delivered projects under budget while exceeding performance targets. Transformed complex data landscapes into actionable & predictive intelligence. Core Toolkit: Modern Platforms: Microsoft Fabric (Power BI, Data Factory, Data Warehouse, Lakehouse, OneLake, Real-time Intelligence) Databases: SQL Server (SSMS), BigQuery, PostgreSQL BI & Visualization: Power BI, Looker Studio, SSRS, Fabric Advanced Analytics: ML Modeling, GA4, Python (for analysis) Pipelines & Orchestration: SSIS, dbt, Airflow Domains: FMCG, iGaming, Commercial Real Estate Ready to turn your data into a predictive growth engine? ➡️ Message me now to book your FREE 30-minute consultation!

I help startups, SaaS companies, and enterprises build scalable data platforms, reliable ETL/ELT pipelines, AI-powered automation, and intelligent data products that deliver measurable business value. My core expertise is Data Engineering —designing cloud data warehouses, batch and real-time pipelines, workflow orchestration, and analytics-ready data models using technologies like Snowflake, BigQuery, Spark, Kafka, Airflow, AWS, and GCP . I also integrate AI and Agentic AI into products and business workflows using LLM APIs, automation platforms, and intelligent agents to improve efficiency and decision-making. With 7+ years of experience and $4K+ earned on Upwork , I deliver production-ready, scalable, and maintainable solutions that align with business goals. --- Services I Offer Data Engineering • ETL and ELT pipeline development • Cloud data warehouse design • Data migration and modernization • Batch and real-time data processing • Data modeling and transformation • Workflow orchestration • Data quality and validation • Analytics-ready data architecture • API and multi-source data integration Cloud Data Platforms & Warehousing • Snowflake, BigQuery, Databricks, and cloud warehouse implementation • Lakehouse and warehouse architecture • Modern data stack implementation • Data pipeline performance optimization • Incremental processing and transformation workflows • Data platform modernization from legacy systems Streaming & Real-Time Data Systems • Kafka and Spark-based streaming pipelines • Apache Flink workflows • Event-driven data processing • Low-latency data movement and transformation • Real-time monitoring and operational analytics AI Product Integration & Automation • OpenAI and LLM API integration • AI copilots and internal assistants • Retrieval-Augmented Generation (RAG) • Structured prompt and workflow design • AI features embedded into data products • API-based AI automation • Business workflow automation • AI-powered reporting and operational workflows Agentic AI • Tool-using AI agents • Multi-step autonomous workflows • Agent orchestration • Human-in-the-loop approval flows • AI systems connected to internal tools and databases • Agentic automation for operations, analytics, and support Dashboards & Analytics • Power BI and Tableau dashboards • KPI and executive reporting • Operational analytics • Business intelligence workflows • Data preparation for downstream reporting tools --- ⚙️ Tech Stack ⚡ Data Warehouses & Lakehouses • Snowflake • BigQuery • Databricks • Delta Lake • Microsoft Fabric • Amazon Redshift • Apache Iceberg ⚡ Data Ingestion • Airbyte • Fivetran • Custom Python Connectors • CDC Pipelines ⚡ Data Engineering & Transformation • Python • SQL • Apache Spark • PySpark • dbt • Pandas • NumPy ⚡ Orchestration & Pipelines • Apache Airflow • Azure Data Factory • Mage • Dagster • Prefect ⚡ Streaming & Event-Driven Systems • Apache Spark Structured Streaming • Apache Kafka • Apache Flink • AWS Kinesis • Google Pub/Sub ⚡ Cloud Platforms • AWS • Google Cloud Platform (GCP) • Microsoft Azure ⚡ AI & Machine Learning • OpenAI API • Claude API • Claude Code • OpenAI GPT-4o • OpenAI Realtime API • AWS Bedrock • LangChain • LangGraph • CrewAI • MCP (Model Context Protocol) • NLP ⚡ Backend & Integration • FastAPI • Flask • REST APIs ⚡ DevOps & Infrastructure • Docker • Kubernetes • CI/CD • Terraform • CloudFormation • GitHub Actions ⚡ Databases • PostgreSQL • MySQL • MongoDB • DynamoDB • Redis ⚡ Business Intelligence & Visualization • Power BI • Tableau • Looker • Apache Superset • Grafana • Streamlit ⚡ Vector Search & RAG • Pinecone • Weaviate • FAISS • pgvector • Elasticsearch • OpenSearch • Supabase Vector ⚡ Automation • n8n • Zapier • Make • Custom AI Automation --- 🏢 Industries Served • FinTech • Enterprise SaaS • Healthcare • LegalTech • Marketing Automation • Media & Broadcasting • Analytics Platforms • Crypto & Blockchain • eCommerce • Manufacturing • Logistics • Cloud Infrastructure --- ⭐ Why Clients Work With Me • ✅ I build production-ready systems, not proof-of-concepts • ✅ 7+ years of hands-on Data Engineering experience • ✅ Strong expertise across Data Engineering, AI, and Cloud Platforms • ✅ Clean, scalable, and maintainable architecture • ✅ Business-focused solutions that deliver measurable outcomes • ✅ Reliable communication and on-time delivery --- Short Bio I am Mitali Tripathy , a Senior Data Engineer specializing in modern data platforms, AI product integration, and intelligent automation. I help organizations build scalable ETL pipelines, cloud-native data platforms, streaming architectures, and AI-powered business solutions that transform data into actionable insights. If you're looking for someone who can bridge Data Engineering and AI Product Development while delivering scalable, production-ready solutions, I'd be happy to help bring your project to life.

Need to build intelligent, automated data systems or deploy predictive machine learning models? I bridge the gap between raw data engineering, advanced AI, and business intelligence to deliver end-to-end data solutions. With a strong foundation in data analytics and hands-on experience delivering 12+ advanced technical projects, I specialize in building robust ETL pipelines, training deep learning neural networks, and creating high-impact visual dashboards. I don't just analyze data—I build the infrastructure and intelligence that powers it. 🔶 CORE EXPERTISE & COMPLETED WORK: 🔹Data Engineering & ETL Pipelines: Designed and deployed end-to-end automated pipelines that seamlessly extract, transform, and load data, ensuring clean and production-ready data streams. 🔹Machine Learning & Predictive Analytics: Developed 6 complete ML projects focusing on predictive modeling, regression, and classification to uncover complex data patterns. 🔹Deep Learning & Computer Vision: Engineered 4 neural network projects, specializing in advanced data architectures and deep learning models to handle complex, unstructured datasets. 🔹Data Visualization & BI: Built production-grade, interactive dashboards using Power BI, Tableau, and custom Python frameworks (Streamlit/Dash) for real-time insight tracking. 🔶 MY TECHNICAL TOOLKIT: 🔹AI & Machine Learning: TensorFlow/Keras, Scikit-Learn, Neural Networks, Deep Learning 🔹Data Engineering & DevOps: ETL/ELT Pipelines, SQL, Database Management, Docker/Containerization 🔹Languages: Python (Pandas, NumPy, SciPy), R, SQL, Excel VBA 🔹BI & Visualization: Power BI, Tableau, Streamlit, Jupyter Notebooks Whether you need an automated data pipeline, a custom-trained machine learning model, or an interactive dashboard, I deliver scalable, clean, and well-documented solutions.

With extensive expertise in Python and SQL, I focus on building data products and architecting comprehensive data solutions. I'm proficient in the major cloud providers of AWS, GCP, Snowflake & Databricks.. Active Data and Analytics community member providing coaching, mentoring while writing and giving talks at meetups and events. I enjoy collaborating with stakeholders, project managers, and engineers to identify and execute value-generating opportunities. I've been engaged with many industries including e-commerce, marketplaces, education, healthcare, and more. My goal is to help clients achieve their objectives through tailored data strategies and innovative solutions. I provide services for: - Data Modeling - Data Architecture - Data Warehousing - Query Optimization / Cost Reduction - ETL/ELT Pipelines - BI Reports/Dashboards - Data Visualization - Data Observability & Monitoring - API Development - ML/AI Model Development - Roadmapping & Project Planning - and much more... feel free to contact me Some of my favorite tools are: dbt, Airflow, Kafka, dlt, Snowflake, Redshift, BigQuery, Looker, Hex/Deepnote