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I am a Microsoft Certified Data Analyst. Experience with data visualization best practices and storytelling through data. Power BI, M Language, DAX, Tabular Editor, DAX Studio, Power Automate, API Connections, SQL (DML), Spotfire. Expert in establishing data connections from E-commerce sources like Shopify, Amazon, and Google Analytics among others. Hello, how are you? I'm Ankita, a Power BI Specialist, Business Intelligence Developer, and Data Analyst with over 8 years of data experience. I've spent the last few years supporting businesses all across the world in attaining their data goals, all while making new friends. If you're looking for someone who can understand your needs, collaborate with you to create the best solution, and carry out a vision, you've come to the right place. With over 8 years of hands-on experience in transforming raw data into actionable insights, I am dedicated to helping clients make data-driven decisions to achieve their business goals. =====Solutions and Technical Assistance I can deliver to you====== • Power BI Reports Development & Maintenance: o Proficient in Microsoft Power BI, I specialize in creating interactive and visually appealing reports and dashboards. o My strong background in data modeling allows me to design efficient and robust data models, ensuring accurate analysis and seamless user experience. o I am well-versed in DAX (Data Analysis Expressions) and Power Query (M language) to perform complex calculations and data transformations. o I have successfully integrated Power BI with various data sources, including SQL databases, Excel spreadsheets, and cloud-based services. o My expertise in data visualization best practices ensures that the insights conveyed through the dashboards are clear, insightful, and easily understandable by stakeholders. o Having worked with diverse datasets, I can handle complex data structures and deliver custom-tailored solutions. • Detailed expertise: o Development of Simple and Complex reports. o Enhancement and optimization of existing reports. o Integration of Iron Python scripts in the dashboards for additional functionality that the tool does not provide. o HTML and Java Scripts for building user interactive dashboards. o Reports Scheduling and Monitoring. o Admin activities including Dashboard deployment and publishing the reports to the Power BI service. • Work Experience: o In my previous projects, I have collaborated with clients across different industries, including finance, healthcare, and e-commerce, delivering impactful Power BI solutions. o I have developed executive dashboards for CEOs, operational reports for managers, and self-service analytics solutions for end-users. • Availability and Communication: o I am currently available for new projects and am flexible with communication channels. Feel free to message me here on Upwork or schedule a video call to discuss your project requirements. • Hourly Rate and Terms: o My hourly rate for Power BI development services is $50, and I offer transparent billing based on the actual time spent on the project. For larger projects, we can discuss milestones and payment terms to ensure a smooth workflow. Looking forward to working with you.

🏆 TOP RATED PLUS | $100K+ EARNED | 100% JOB SUCCESS I help companies turn fragmented data, manual reporting and document-heavy workflows into reliable data platforms, automated analytics and production AI systems. With 10 years of IT experience, I have designed and delivered cloud data platforms, ETL/ELT pipelines, lakehouses, reporting systems and AI applications for startups and established businesses. My work covers the complete journey: ✓ Connecting data from databases, APIs, SaaS applications and files ✓ Building reliable ETL/ELT pipelines and orchestration ✓ Designing Databricks lakehouses and cloud data warehouses ✓ Implementing data quality, governance and access controls ✓ Creating automated dashboards and management reporting ✓ Building production RAG and AI knowledge systems ✓ Integrating data and AI capabilities into existing applications SELECTED DELIVERY EXPERIENCE • Delivered a citation-backed AI knowledge system for a US legal-sector client covering 20,000+ compliance documents, with 95%+ evaluated accuracy. • Led a complex Salesforce integration using Airflow and dbt, creating dependable data pipelines for leads and accounts. • Designed a Databricks-based lakehouse covering ingestion, Bronze and Silver transformation layers, Unity Catalog governance, APIs, analytics and external data sharing. • Built a GCP marketing-data platform integrating Google Analytics, Google Ads, Facebook Ads and PostgreSQL into BigQuery and Looker. • Delivered automated reporting solutions using QuickSight, Looker, Power BI and Apache Superset. CORE TECHNOLOGIES Databricks, BigQuery, Snowflake, GCP, AWS, Apache Airflow, dbt, PySpark, Python, SQL, FastAPI, APIs, Delta Lake, Unity Catalog, Looker, QuickSight, Power BI and Superset. WHY CLIENTS WORK WITH ME • Architecture and hands-on implementation from the same person • Clear communication with technical and business stakeholders • Independent ownership of complex data problems • Production-focused engineering, not just demonstrations • Ability to involve a focused senior Vyntics engineering team when a project requires additional capacity If your data is spread across systems, reporting requires manual work, or an AI prototype needs to become reliable and production-ready, send me a message with your current challenge. I can help you identify the right architecture and a practical path to delivery.

I'm a Senior Data Engineer with 8+ years of strong technical expertise in building reliable and scalable data infrastructure, from data ingestion to transformation to warehousing, streaming, and data analytics, specializing in dbt, Snowflake, Airflow, Databricks (and more) across AWS, Azure, and GCP, with robust ELT and ETL pipelines. If your data pipelines are brittle, your data warehouse is slow, or your data was never built to scale, that is exactly what I fix, with fault tolerance, observability, and audit-ready quality engineered in from day one. I cover the full data engineering lifecycle: batch and real-time data pipelines, Modern Data Stack builds, lakehouse architecture, cloud and warehouse data migration, governance, and the data foundations that feed modern systems. 🎯 Core Expertise: ✅ Data Pipelines & Orchestration: End-to-end batch and real-time pipelines with Apache Airflow, Dagster, Prefect, AWS Step Functions, and Azure Data Factory. Idempotent, schema-drift tolerant, and monitored so failures surface before they reach your stakeholders. ✅ Cloud Warehousing & Lakehouse: Snowflake, BigQuery, Amazon Redshift, Databricks, and Microsoft Fabric, with Delta Lake and Apache Iceberg lakehouse foundations governed through the Glue Data Catalog and Lake Formation, with Athena and Redshift Spectrum for serverless queries, Medallion Architecture, partitioning, and performance tuning. ✅ Data Transformation & Modeling: dbt (Core and Cloud), SQLMesh, Spark and PySpark on EMR and AWS Glue, Star Schema and dimensional modeling, analytics engineering best practices, full test coverage, and CI/CD for data models. ✅ Streaming & Real-Time Analytics: Distributed streaming with Apache Kafka, Flink, Spark Structured Streaming, Kinesis, and Pub/Sub, including exactly-once semantics, dead-letter queues, CDC, and end-to-end latency guarantees. ✅ Data Ingestion & Integration: Fivetran, Airbyte, Matillion, Stitch, Hevo, Meltano, and custom CDC pipelines for near-real-time sync across structured, semi-structured, and unstructured sources. ✅ Data Quality, Governance & Observability: Automated data quality frameworks, SLA monitoring, auditable lineage, data catalog and metadata management, and observability that catches bad data early. ✅ Cloud Migration & Modernization: Zero-downtime migration handled end to end, from legacy warehouse assessment through cutover, with zero data loss and minimal downtime, replacing brittle ETL and ELT with a clean Modern Data Stack. ✅ AI-Ready Data Infrastructure: Pipelines engineered to feed LLMs and ML systems with clean, structured, high-quality data, from ingestion through transformation to serving. ------------------------------------------------------ ⚙️Tech Stack: ⚡ Warehouses & Lakehouse: Snowflake | BigQuery | Redshift | Databricks | Microsoft Fabric | Athena | Delta Lake | Iceberg ⚡ Transformation: dbt | SQLMesh | Spark | PySpark | AWS Glue | EMR | Star Schema | Medallion Architecture ⚡ Orchestration: Airflow (GCP Cloud Composer and AWS MWAA) | Dagster | Prefect | Azure Data Factory | Step Functions ⚡ Streaming: Kafka | Flink | Kinesis | Pub/Sub | Spark Structured Streaming | ClickHouse ⚡ Ingestion: Fivetran | Airbyte | Matillion | Stitch | Hevo | Meltano | CDC ⚡ Governance & Catalog: Glue Data Catalog | Lake Formation | Unity Catalog | Microsoft Purview | Dataplex ⚡ Cloud: AWS | GCP | Azure ⚡ Languages: Python | SQL (Snowflake, BigQuery, T-SQL, PL/pgSQL) | FastAPI ⚡ Databases: PostgreSQL | MySQL | SQL Server | DynamoDB | MongoDB ⚡ BI & Reporting: Looker | Tableau | Power BI | GA4 | Metabase | Superset | Streamlit | Grafana ------------------------------------------------------ ⭐ What Clients Say: 🏅 "Adarsh rebuilt our analytics pipeline on Snowflake, Airflow, and dbt, giving us reliable, version-ready data. Reporting accuracy improved overnight, and we can finally trust the numbers." – Anita, Head of Product, FinTech SaaS 🏅 "He designed a zero-downtime migration to a modern data warehouse that cut query latency by more than half while keeping our SLAs intact." – Daniel, VP of Data, AdTech Firm 🏅 "Clean architecture, solid dbt models, and Airflow pipelines running without issues for months. He brought a level of engineering discipline we hadn't seen from a data consultant before." – Mark, Director of Data Engineering, E-commerce Startup 🏅 "We came to him with a Spark pipeline costing us a fortune and delivering stale data. He restructured the workflow logic and cut processing time by 70%." – Leo, Head of Analytics, HealthTech SaaS ------------------------------------------------------ 🏆 TOP RATED PLUS | EXPERT-VETTED | Top 1% on Upwork | 8+ Years Experience | 100% Job Success 🚀 Ready to build a scalable, production-ready data infrastructure to turn your raw data into reliable, actionable business insights? Click the 'Invite to Job' button on the top right, and let's discuss your data pipeline!

✅ Top Rated Plus | 100% JSS | 4x Certified (AWS SA Pro, GCP Pro Architect, Snowflake) | BITS Pilani MTech Data Science | Full Stack Developer & Data Engineer | React, Python, Node.js, Spark | $20K+ earned | 1,845+ hours I build full-stack web applications and data engineering systems that go to production, not to demo day. SaaS MVPs, Spark-based ETL pipelines, cloud architecture on AWS and GCP, I handle both the application layer and the data infrastructure behind it. 🔹 Full-Stack SaaS & Web Application Development React, Next.js, Node.js, and Python backends for SaaS platforms, dashboards, internal tools, and customer-facing apps. MVP to production on AWS/GCP with CI/CD, automated testing, and monitoring from day one. 19 Upwork contracts delivered with structured milestones. 🔹 Data Engineering & ETL Pipeline Architecture End-to-end data pipeline design with Apache Spark, PySpark, Scala, Snowflake, and Airflow. Batch and streaming ETL processing millions of records per run. Data lake architecture, warehouse modeling, analytics-ready output layers. 8+ years building production Spark + Cassandra systems at enterprise scale. 🔹 Cloud Architecture & Infrastructure (AWS + GCP) 4 cloud architecture projects on Upwork, all rated 5.0. $2,300 CloudStack design. AWS architecture advisory. EC2, Lambda, S3, RDS, EMR, Redshift on AWS. BigQuery, Dataflow, Cloud Functions on GCP. Terraform for IaC, Docker and Kubernetes for orchestration, zero-downtime deployments. 🔹 API Development & Backend Systems REST API and GraphQL backends with Node.js, NestJS, FastAPI, and Django. Microservices, Redis caching, WebSocket integrations, Stripe payment APIs, OAuth/JWT authentication. Backend services handling concurrent users at production scale. 🔹 Database Design & Data Modeling PostgreSQL, MongoDB, MySQL, Cassandra, DynamoDB, Redis. Schema design, query tuning, indexing, partitioning. Star and snowflake schemas, slowly changing dimensions, SQL optimization for analytics. Architecture decisions balancing performance, throughput, and cost. 🔹 AI Integration & Intelligent Applications OpenAI API, Hugging Face, NLP pipelines, chatbot systems, text extraction and summarization. Delivered NLP processing on Upwork. AI-powered features built into SaaS products as production features, not standalone experiments. 🔹 Real-Time Processing & Event-Driven Systems Kafka for event-driven architectures, change data capture, WebSocket dashboards, streaming pipelines for near-real-time analytics. Application events connected to data warehouse layers. 🔹 Frontend Performance & TypeScript Engineering React and Next.js with SSR/SSG for SEO-friendly rendering. TypeScript full stack. Core Web Vitals optimization, Tailwind CSS, responsive design. Fast-loading frontends that rank and convert. 🔹 DevOps, CI/CD & Production Systems Docker, Kubernetes, Terraform, GitHub Actions, GitLab CI. Serverless with AWS Lambda and GCP Cloud Functions. Monitoring, logging, alerting for production. Zero-downtime deployment strategies. 🔹 Technical Consulting & Architecture Advisory TypeScript and AWS Lambda tutor on Upwork, rated 5.0 over 13 hours. Cloud migration advisory, system design review, code audits, performance optimization, engineering mentorship. 📊 AWS Solutions Architect Professional + Associate (Dec 2026) | GCP Pro Cloud Architect (Jul 2026) | Snowflake Core (Jan 2026) 📊 MTech Data Science, BITS Pilani, ranked top 5 engineering institutions in India 📊 19 contracts, 100% JSS, Top Rated Plus, 1,845+ hours tracked, $20K+ earned 📊 "Jay's expertise brought the architecture design to life in ways I hadn't imagined" (5.0 rated) 📊 8+ years: React, Node.js, Python, Java, Scala across SaaS, healthcare, fintech, enterprise → Day 1: Requirements call + architecture proposal with tech stack rationale → Week 1: Sprint development, daily Loom/Slack updates, working code shipped → Ongoing: Weekly demos, priority reviews, transparent tracking, full documentation → Delivery: Documented code, CI/CD configured, deployment guide, 2-week post-launch support Full Stack: React, Next.js, Node.js, NestJS, Express, TypeScript, JavaScript, Python, FastAPI, Django Data: Apache Spark, PySpark, Scala, Snowflake, Airflow, Kafka, ETL, dbt, SQL, BigQuery Cloud: AWS (Lambda, EC2, S3, RDS, EMR, Redshift), GCP (BigQuery, Dataflow), Docker, Kubernetes, Terraform DB: PostgreSQL, MongoDB, MySQL, Redis, Cassandra, DynamoDB, Supabase AI: OpenAI API, Hugging Face, NLP, LLM Integration, TensorFlow, PyTorch 💬 Message me with your project scope or data challenge. I respond within 4 hours with a free assessment and can start within 48 hours.

Database Development : ****************************************** Oracle Sql, Plsql, Data Export from Oracle DB to excel MSSQL PostgreSQL AWS Redshift, Glue, S3 GCP BigQuery Snowflake Oracle Forms(D2k) Expertise in Entities like : ------------------------------- Tables, Views, Sql Queries, All Types of JOINS, Cursor, Procedure, Function, Packages, Triggers, Collection, Bulk Collect, Analytical/Window Function, Dynamic Sqls, Pipelined Functions, Sql Loader, External Table, Hints, Bug Fixing , Debugging, Impact Analysis etc. DBA ************** * Having 10+years of experience as an Oracle, MICROSOFT SQL server and Golden Gate administrations in Banking, finance, Healthcare, Multimedia and currently working in Telecom domain. Working in 24x7 environments and providing support. * 6 +Month experience on AWS RDS and EC2 instances. Experience in RAC Implementation, maintenance of Clustered Databases, CRS upgrade, ASM implementation and maintenance. * Hands on knowledge of Golden gate replication and online Migrations tool. * Migration from 11g and 2c to 19c using DBUA Experience in installation & configuration oracle 10g, 11g, 12c and 19c RAC. * Implementation MICROSOFT SQL server 2008, 2012, 2014 and 2016 in development, test, and production environment. Always on replication. * Monitoring MSSLQL Server clustering, Log shipping, mirroring * Having dept knowledge about Oracle and MICROSOFT SQL server patching. * Tested and Implemented different physical and logical backup and recovery methods like point in time, Media recovery, RMAN and EXPDP and IMPDP utility. * Experience in designing Data guard solution and implementation and in managing physical standby. * Experience in monitoring and optimizing the Database performances through tuning using stats pack, AWR, ADDM, explain plan, Backup timings of databases. Having hands-on knowledge Oracle Table Partitions and Materialized Views. * Upgraded/ Migrated MICROSOFT SQL server Instances/Databases from older version MICROSOFT SQL server to new version of SQL Server. Apply SP (Service Pack)/ hot fixes on MSSQL server Instances to address security and upgraded related issues. * Performance Tuning and schedule jobs to automate different database related activities including backup, monitoring database health, disk space, and backup verification. * Extensive knowledge of oracle architecture SGA, PGA, Listener, tns names. * Developed Different Maintenance Plans for database monitoring. Setup Jobs, Maintenance plans for backups. Rebuilding indexes, check server health, alert, notifications Manual, on demand and setup jobs for Database Backup, and design backup strategy. * Experience in Mirroring and Log shipping and managing Standby Databases. * Creating File groups & managing File groups. Creating users and providing proper privileges for Database access. * Memory monitoring and optimizing the Database Performances through Tuning Explain Plan. Experience in Oracle RMAN backup (Full, incremental and cumulative) and recovery, Incomplete recovery and disaster recovery. * Experience in, Maintenance plans for backups, Rebuilding indexes, check server health, alert, notifications Manual, on Demand and setup jobs for Database Backup, and design backup strategy. * Hands-on experience in configuring MSSQL server and Windows system event log entries for warnings. Language : ********************* Python (Pandas, Numpy, Matplotlib, AI/ML, PySpark) Java (Java, Spring MVC, Spring boot, Microservices, Rest-api, React, Angular old version Javascript) ETL: Informatica,ODI **************** 1. Proficient in data integration and ETL processes using Informatica PowerCenter. 2. Extensive experience in designing, developing, and implementing ETL solutions with a focus on Informatica PowerCenter. 3. Demonstrated expertise in creating complex mappings, workflows, and transformations in Informatica PowerCenter to optimize data flow. 4.Proven track record of troubleshooting Informatica PowerCenter workflows. 5. In-depth knowledge of working with various databases and sources like oracle , terafata, flat files to extract, transform, and load data using Informatica PowerCenter. 6. Implemented and maintained data warehouses utilizing Informatica PowerCenter as a key component of the ETL architecture. 7. Proficient in utilizing Informatica PowerCenter for handling large volumes of data. Excel : ************* Advanced Excel Formula, Macro Data Visualization : ************************** Power BI, As a Trainer to Train in SQL Help Students in their SQL Assignments ####################################### Having over 14 Years of experience mainly as a Database Development Expert. Also having hands on experience in above mentioned skill set. Just give a faith for your development activities, I assure you will not be disappointed. Note : Pay after only the satisfaction of work only. Thanks DK Raju

🎯 Results my clients achieve: → 60% reduction in data processing costs through optimized AWS Lambda and S3 implementations → Automated reporting systems saving 15+ hours weekly across teams → Seamless integration of multiple data sources into unified, reliable data warehouses → Enhanced data quality and governance with proven medallion architecture I specialize in building robust, scalable data solutions that transform business operations. My expertise spans: 🔄 Data Pipeline Engineering: - AWS Lambda-powered data pipelines processing 1GB+ daily data with medallion architecture - Multi-source ETL systems handling PostgreSQL, Snowflake, and BigQuery migrations - Healthcare data integration across 10+ states with automated PDF/Excel parsing - Large-scale YouTube analytics pipeline with geospatial processing - Real estate analytics system with automated data quality checks - Anime seasonal data collection pipeline using MyAnimeList API - Oil price prediction pipeline on AWS EC2 (r5.2xlarge) with PySpark 🛠️ Tech Stack Expertise: Cloud & Infrastructure: - AWS: Lambda, S3, CloudWatch, EC2, CLI - GCP: BigQuery, Cloud Storage - Infrastructure: Docker, Git, CI/CD Data Processing & Storage: - Frameworks: PySpark, Apache Airflow, Pandas, PyArrow - Databases: PostgreSQL, Snowflake, BigQuery, MySQL - Formats: Parquet, CSV, Hive partitioning, XML Analytics & Visualization: - BI Tools: Metabase, Apache Superset, Cluvio, Looker Studio - Libraries: Matplotlib, Seaborn, GeoPandas - Platforms: Amplitude, Google Analytics 4, Chartio AI & ML Integration: - LLM Implementation: Llama2, Langchain, OpenAI - ML Libraries: Scikit-learn, Facebook Prophet, XGBoost - Vector Stores: Pinecone, Hugging Face Embeddings Specializations: - Web Scraping: BeautifulSoup, Selenium, Custom Extractors - API Integration: RESTful APIs, OAuth 2.0, Webhooks - Data Quality: DBT transformations, Custom validation frameworks 🎓 Education & Certifications: - AWS Certified Data Engineer - Associate - Databricks Certified Data Engineer Associate - MS in Business Consulting (Germany) - MS in Big Data Analytics & AI (Russia) 💡 What sets me apart: 1. Proven track record with $30K+ earnings and 55+ successful projects 2. Perfect 5.0 client satisfaction rating 3. Experience across diverse industries (Real Estate, Healthcare, Legal) 4. Strong focus on cost optimization and efficiency 5. Clear communication and detailed documentation Ready to transform your data challenges into opportunities? Let's discuss how I can help optimize your data infrastructure and deliver actionable insights for your business. Let's turn our discussion into action. I can start immediately and deliver the quality results you're looking for.