DEV Community: RamyaKaruturi

📘 Foundation Phase Completed - Starting Phase 2 of My Journey

RamyaKaruturi — Mon, 29 Sep 2025 04:42:59 +0000

🛠️ Foundation Phase Recap (Aug 11 – Sep 28)

I started my foundation phase on August 11 with the goal of building comfort in scripting, querying, and managing environments. Over the past seven weeks, I’ve explored Linux, Cloud, SQL, and built my first ETL pipeline. Each week had its own focus, and I’ve documented everything on Hashnode and GitHub.

🔹 Week 1: Linux Basics and Cloud Introduction

This week was about getting familiar with Linux commands and understanding cloud architecture. I practiced workflows like navigation, file management, permissions, and package handling. On the cloud side, I explored service models and AWS basics.

📄 Hashnode Article: Week 1 & Week 2 – Linux and Cloud Fundamentals

📂 GitHub Documentation: Week 1 – Reflections

🔹 Week 2: Continued Linux Practice and Cloud Concepts

I refined my Linux skills with process control, scheduling tasks, and monitoring system resources. I also explored IAM roles and EC2 setup in AWS.

📄 Hashnode Article: Week 1 & Week 2 – Linux and Cloud Fundamentals

📂 GitHub Documentation: Week 2 – Reflections

🔹 Week 3: PostgreSQL Practice and Query Mastery

This week was focused on SQL. I designed a mini sales database and solved 50+ queries across filtering, joins, aggregations, and window functions. It helped me understand relational logic and query design.

📄 Hashnode Article: Week 3 – PostgreSQL Practice & Query Mastery

📂 GitHub Documentation: Week 3 – Reflections

⏸️ Sep 1 – Sep 6: Break Week

I didn’t work on foundation topics this week. I was involved in other tasks not related to this phase, so I didn’t count this as part of the learning timeline.

🔹 Week 4: ETL Pipeline Project

This week was all about building. I created a beginner-friendly ETL pipeline using Linux shell scripting, Python (pandas), and PostgreSQL. I extracted, transformed, and loaded drug label data into a structured database.

📄 Hashnode Article: My First ETL Pipeline

📂 GitHub Repository: Linux_ETL_Pipeline

🔹 Week 5: Thinking Like a Builder

This week was a mindset shift. I stopped just running commands and started designing systems.

Practiced shell scripting with error handling
Explored Docker basics
Worked with EC2, Lambda, and S3 lifecycle rules
Documented daily reflections with clarity

📄 Hashnode Article: Week 5 – The Week I Started Thinking Like a Builder

📂 GitHub Documentation: Week 5 – Reflections

🧠 Week 6: Internship Work – Smart Fridge Annotation

After Week 5, I planned to start Phase 2. But as part of my internship, I was assigned to work on data collection and annotation for smart fridge images.

This week, I focused on:

Collecting diverse fridge images
Annotating items shelf by shelf

🚀 Starting Phase 2: Core Workflows

Now that the foundation phase is complete, I’m officially starting Phase 2 of my journey.

This phase will focus on how data moves, transforms, and gets scheduled.

🔧 Phase 2 Plan (Sep 29 – Early Dec)

Data Extraction: APIs, web scraping, Selenium
Data Ingestion: Kafka, Spark, Flink
Orchestration: Airflow, dbt

I’ll continue documenting each week with clarity sharing both technical progress and mindset shifts.

“Foundation gave me clarity. Now I’m building momentum.”

I’m Not Chasing a Job - I’m Building Myself

RamyaKaruturi — Sun, 10 Aug 2025 14:01:57 +0000

🌱 Why I’m Writing This

This isn’t a portfolio piece.

This isn’t a checklist for placement.

This is me, choosing to grow intentionally, publicly, and without shortcuts.

Over the past few weeks, I’ve realized that real progress doesn’t come from chasing outcomes. It comes from building systems, solving problems, and staying curious. So I created a 6-month learning plan to deepen my understanding of tools and workflows that shape how I think, build, and solve.

This blog marks the beginning of that journey.

🧭 My 3-Phase Learning Plan

I’ve split my learning into three phases — each one designed to build depth, not just breadth.

🔧 Phase 1: Foundation (Aug – Mid Sep)

Languages: Python, SQL, Java, Scala
Systems: Linux (Ubuntu), Bash scripting
Cloud Basics: IAM, EC2, S3

Focus: Build comfort with scripting, querying, and managing environments.

🔄 Phase 2: Core Workflows (Mid Sep – Early Dec)

Data Extraction: APIs, web scraping, Selenium
Data Ingestion: Kafka, Spark, Flink
Orchestration: Airflow, dbt

Focus: Learn how data moves, transforms, and gets scheduled.

🚀 Phase 3: Production-Ready Skills (Mid Dec – Feb)

Infrastructure: Docker, Terraform, Kubernetes
Automation: GitHub Actions
Warehousing: Snowflake

Focus: Build scalable, deployable, and automated workflows.

🧠 Why This Matters to Me

I’m not trying to master every tool.

I’m trying to understand how they fit together.

I want to be able to build something end-to-end — from raw data to insight, from script to system.

And I want to do it in a way that feels authentic, not performative.

This blog is my way of staying accountable, reflecting on what I learn, and connecting with others who are building themselves too.

📅 Timeline Snapshot

🧩 Phase	⏳ Timeframe	🎯 Focus Areas
🔧 Foundation	Aug – Mid Sep	Core languages + Linux + Cloud basics
🔄 Core Workflows	Mid Sep – Early Dec	Extraction, Ingestion, Orchestration
🚀 Production	Mid Dec – Feb	Infra, Automation, Warehousing

💬 What’s Next

I’ll be sharing weekly updates, mini-projects, and reflections — not just the polished stuff, but the messy middle too.

If you’re on a similar path, let’s connect. Let’s learn out loud.

Drop a comment if you’re building yourself too — I’d love to learn from your journey.

This Isn’t a Success Story…Yet

RamyaKaruturi — Fri, 01 Aug 2025 03:12:00 +0000

Hey DEV community! I’m Ramya an undergraduate in Artificial Intelligence and Data Science, steadily navigating my way into cloud-native data engineering.

This post isn’t a portfolio of finished projects or polished achievements. It’s a record of the building phase: the hours spent understanding concepts, breaking things, fixing them, and occasionally just staring at code until something clicks.

I chose this path not for shiny titles, but for the invisible architecture behind great system the pipelines, the orchestration, the quiet backbone of real-time data. These are the things that keep me curious.

What I’m Currently Exploring

Designing cloud-native workflows
Learning tools like Apache Airflow, Python, and Spark
Documenting insights and challenges openly, as I learn

Writing is how I make sense of what I’m learning. If you're somewhere in that messy middle of learning, building, doubting, repeating… welcome. You’re not alone.

This isn’t a success story.
But it’s mine.
And it’s unfolding one step, one post, one pipeline at a time.

Let’s Connect

If you’re exploring similar tools or just figuring things out, I’d love to hear your story too. Drop a comment or share your favorite resources!