Transforming ideas into digital results

I take the time to understand your unique data needs, business goals, and strategic objectives to engineer solutions that truly transform your information into actionable intelligence and help you drive impactful decisions.

About Me

Hello! I'm Rohit Chauhan, a Data Engineer and Python Developer with over 6+ years of experience based in Rajkot, Gujarat. My passion lies in transforming complex data into clear, actionable insights and automating workflows for maximum impact.

I thrive on the challenge of finding the perfect balance between robust engineering and actionable insights, ensuring that every data solution I create not only performs flawlessly but also provides clear, intuitive understanding for stakeholders. At Instawork, I drive efficiency by scraping critical data, designing scalable ETL pipelines with Python and AWS, and orchestrating workflows with Airflow. I also leverage n8n with AI to create smart automations and deliver insightful reports using Superset and advanced SQL.

My journey includes building Android & iOS mobile apps, developing dynamic websites, and crafting powerful Python scripts as a freelancer. I'm a firm believer in continuous learning, constantly researching and sharing my knowledge on my blog. I love collaborating with new people and am always eager to learn more and achieve great results.

Beyond the Code: My Personal World

When I'm not architecting data pipelines or perfecting Python scripts, you'll often find me unwinding in the immersive worlds of Valorant, PUBG, and Fortnite. Gaming is a fantastic way for me to de-stress and challenge my strategic thinking. I'm also passionate about photography, finding joy in capturing unique moments and perspectives from the world around me. It's how I balance my analytical drive with creative expression and a love for exploration.

FAQs

Illustration about me talk about my services

Frequently Asked Questions

What's your core expertise?

I specialize in Data Engineering and Python Development, with a strong focus on building efficient ETL pipelines, data automation (n8n, AI), and leveraging cloud technologies like AWS.

What's your core expertise?

I specialize in Data Engineering and Python Development, with a strong focus on building efficient ETL pipelines, data automation (n8n, AI), and leveraging cloud technologies like AWS.

What's your core expertise?

I specialize in Data Engineering and Python Development, with a strong focus on building efficient ETL pipelines, data automation (n8n, AI), and leveraging cloud technologies like AWS.

What tools and technologies are you proficient with?

My toolkit includes Python, AWS (S3, Data Pipeline, EC2, Lambda, Redshift), Airflow, n8n, AI/ML integrations, Advanced SQL, Domo BI, Superset, and web/mobile development frameworks.

What tools and technologies are you proficient with?

My toolkit includes Python, AWS (S3, Data Pipeline, EC2, Lambda, Redshift), Airflow, n8n, AI/ML integrations, Advanced SQL, Domo BI, Superset, and web/mobile development frameworks.

What tools and technologies are you proficient with?

My toolkit includes Python, AWS (S3, Data Pipeline, EC2, Lambda, Redshift), Airflow, n8n, AI/ML integrations, Advanced SQL, Domo BI, Superset, and web/mobile development frameworks.

What kind of projects do you enjoy most?

I enjoy projects that involve transforming raw data into actionable insights, automating repetitive processes, and designing scalable data architectures. I especially love challenges that push me to learn new technologies and deliver tangible business value.

What kind of projects do you enjoy most?

What are your other contributions aside from coding?

Beyond coding, I'm passionate about continuous learning and knowledge sharing, regularly publishing insights on my blog. I also contribute by mentoring junior developers, collaborating closely with cross-functional teams to ensure data quality and align technical solutions with business goals, and performing thorough QA testing (manual and automated) to ensure data accuracy and system reliability.